CN107194332A - A kind of Mental rotation mechanism implementation model for being translated and being rotated based on space-time - Google Patents
A kind of Mental rotation mechanism implementation model for being translated and being rotated based on space-time Download PDFInfo
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- CN107194332A CN107194332A CN201710322416.9A CN201710322416A CN107194332A CN 107194332 A CN107194332 A CN 107194332A CN 201710322416 A CN201710322416 A CN 201710322416A CN 107194332 A CN107194332 A CN 107194332A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/10—Terrestrial scenes
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- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
- G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
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Abstract
The invention discloses a kind of Mental rotation mechanism implementation model for translating and rotating based on space-time, and explore its application prospect in Mobile Robotics Navigation.The main brain zone function quantization means that primate Mental rotation process is related to by the invention, including upper parietal cortex (SPC), prefrontal cortex (PFC) and premotor cortex (PMC).SPC modules carry out map structuring and graphical representation；PFC module carries out feature and pose matching, and characteristics of image obtained by upper parietal cortex is compared with defined threshold, decided whether as same object and same pose；PMC simulation rotation current objects, by the point cloud characteristic pattern of relatively current and target object, calculate spin matrix, and then simulate rotation current object, difference is minimum between repeatedly making object, obtains the four-dimensional rotation operator of time correlation, and rotation operator is used for the navigation task for instructing mobile robot；Our model overcomes that conventional navigation algorithms learning ability is poor, to the shortcoming that condition depended is strong and training cost is big.
Description
Technical field
The present invention relates to the modeling of psychological whirler reason in brain cognitive process, more particularly to based on space-time translation and
The realization of rotating model and its possible application in Mobile Robotics Navigation.
Background technology
Mental rotation (mental rotation) is a kind of important Spatial cognitive Abilities of primate, and it can
Help us to simulate the location status that object is seen in rotation in the brain, to solve a certain particular task, such as distinguish two things
Whether body direction is consistent.The seventies in last century, the famous three-dimensional body psychology rotation test of Shepard et al. was drawn：Judge two
The reaction time whether individual object matches and their the linear positive correlation of angle difference.After the experiment is suggested, some are new
Method is also used to study the biological neural basis of Mental rotation, such as：Magnetic resonance imaging, positron emission
Computerized tomograph, TMS transcranial magnetic stimulations etc..These methods are disclosed when carrying out Mental rotation, the upper top in brain
Cortex (superior parietal cortex, SPC), prefrontal cortex (prefrontal cortex, PFC) and precentral gyrus
Motor cortex (premotor cortex, PMC) these three regions in cortex are by sustained activation.The function bag of upper parietal cortex
Space configuration, special pattern conversion is included to calculate；The function of prefrontal cortex includes motion control and imitation；The work(of precentral gyrus cortex
Motion planning can be included and perform and move simulation.These discoveries have also promoted the generation of the neurology framework of some Mental rotations,
These frameworks are general to be divided into four cognitive processes by psychology rotation：1) psychogram of an object is created from all directions
(mental image)；2) with reference to other images, Mental rotation is carried out to current object, compared until that can make；3) close
Connection compares two objects；4) comparative result is reported.
Mental rotation is that it needs by carrying out multiple spatial alternation completion to target scene or object in continuous time
Limited priori or action director are to complete particular task.It is a kind of motion because Mental rotation is simulation rotation
Forecasting Methodology, its Project Realization is complex, is related to scene perception and memory, common-denominator target extraction, target's feature-extraction, feature
Convert with being compared this series of actions, so the computation model for not having especially perfect Mental rotation at present can be applied it to
Actual field of machine vision.
The current comparative maturity of Mobile Robotics Navigation algorithm, and the navigation of view-based access control model is in most important research
Hold.But traditional navigation algorithm also has the drawbacks of some are difficult to overcome, such as adaptive ability weakness and learning ability difference etc..It is special
Determine under environment, such as taken place frequently surprisingly, action is dangerous, and when environment is strange, the autonomous control based on realizing cognitive ability is
It is highly important.Especially, in addition to a person primate and infant are indifferent using map and real-time composition, he
Be how to perform navigation taskResearch shows that Mental rotation has played important function, primate in navigation procedure
Scene and target scene, and then improve map at the moment can be contrasted by Mental rotation, and imagine that current visual angle rotates to an angle
Whether the scene that can be seen afterwards is consistent with target scene, and next step Motion is determined with this.It can be seen that, by Mental rotation mechanism
It is promising with Mobile Robotics Navigation task.
The content of the invention
In view of this, in order to solve the above problems, present invention design is a kind of practical based on space-time translation and rotation
Mental rotation mechanism model, by complicated Mental rotation process simplification into a computation model being easily achieved, the four-dimension includes
Three dimensions and time dimension.And further explore its possible application prospect in Mobile Robotics Navigation task, it is therefore an objective to drop
The training cost of low robot navigation's algorithm, improves migration and the adaptability of algorithm.
The purpose of the present invention is to propose to a kind of practical Mental rotation mechanism model for being translated and being rotated based on space-time.
To realize object above, it is achieved through the following technical solutions：
A kind of excitation learning method based on gradient policy that the present invention is provided, comprises the following steps：
S1:The space configuration function of parietal cortex on abstract representation, inputs the RGB pictures and 3D point cloud figure of current object,
Export 3 width color characteristic figures, 8 width shape facility figures, 4 width direction characteristic patterns and 1 amplitude point cloud key point characteristic pattern；
S2：The feature and pose matching function of abstract representation prefrontal cortex, input the 16 width characteristic patterns obtained for S1, output
It is characterized and location matches result；
S3：The simulation spinfunction of abstract representation motor cortex, inputs the Dian Yunguan of matching result and the S1 output for S2
Key point feature figure, is output as a series of and time correlation four-dimensional rotation operator；
S4：Mobile robot plans next step Motion according to the obtained rotation operators of S3.
Further, the upper parietal cortex respective modules major function in the step S1 is to carry out space configuration, because field
Scape is excessively complicated, and we are studied some critical object extracted in target scene, and foundation is that our mankind are remembering ground
Significant road sign or building when figure under general meeting selective memory current visual angle in map etc..Upper parietal cortex is by object
Color, shape, direction and key point characteristic quantification, input the RGB pictures and 3D point cloud figure for current object, RGB pictures are used
In the extraction of first three feature, 3D point cloud figure is used in the extraction of crucial point feature.Color is using " the double competitions of color " algorithmic notation；
Shape carries out Sobel edge extracting expressions using 8 yardstick gaussian pyramid pictures；Rolled up using cosine grating and dimensional Gaussian in direction
Product description；SIFT operator extraction key points are used to 3D point cloud figure, to simplify data volume.The upper parietal cortex module is output as
3 color characteristic figures, 8 shape facility figures, and 4 direction character figures and 1 key point 3D point cloud figure.
Further, the major function of the prefrontal cortex module in the step S2 is feature and the comparison match of pose, its
Input the 16 width current object characteristic patterns obtained for upper parietal cortex module and 16 width target object characteristic patterns, with Euclidean distance come
Color characteristic figure, shape facility figure described, direction character figure, the difference of key point 3D point cloud figure, and then by this 4 major class characteristic pattern
Linear fusion is made comparisons into a value with the threshold value pre-set with the value, judge finding object and target object whether be
Same object, and pose is consistent.If consistent, Mental rotation process is completed, and Mobile Robotics Navigation operation is also completed, if differing
Cause that current object 3D point cloud figure then is fed back into premotor cortex, carry out Mental rotation planning next time.
Further, the groundwork of the premotor cortex module in the step S3 is simulation rotation current object, input
It is the crucial point diagram of the 3D point cloud of current object and target object.The method for using for reference mechanical arm spatial description and conversion is realized, first
Three-dimensional coordinate system is built by origin of target object point cloud chart center, current object is then projected into appointing in the space
Meaning position, and then using translation operator by the center translation of current object to the origin of coordinates.According to two amplitude point cloud key points
Angle difference average, builds a four-dimensional rotation operator related to current state, includes x, y, z, t (time) state.With
Rotation operator simulation rotation current object, matches key point again, if there is larger difference, is then simulating postrotational state
On calculate rotation operator x, y, z, a t+1 again, similar to Markov Chain, the state at t+1 moment is only dependent upon t
State, until matching difference value within a certain range, export a series of four-dimensional rotation operator.
Further, the rotation operator that mobile robot is exported according to S3 in the step S4, plans ensuing track, makes
Certain angle can be turned over by obtaining camera, then gather the scene graph after being moved through using Kinect moving cameras, and pass through mesh
Object most like in the shape template matching current scene of object is marked, splits the object, its RGB figures and 3D point cloud figure is fed back
To above-mentioned upper parietal cortex module, Mental rotation process next time is carried out.It is in place that mobile robot constantly adjusts oneself institute
Put, finally as make the scene under its visual angle consistent with target scene as possible.
The present invention by the Mental rotation procedural abstraction of primate into can quantization means Space Rotating process, establish
A whole set of Mental rotation realizes framework, and explores the possibility applied it in Mobile Robotics Navigation task.The present invention
Meaning be that being related to complicated brain zone function for Mental rotation process carries out mathematical modeling, and be combined into the algorithm stream of a closed loop
Journey.Meanwhile, the cognitive algorithm, which is incorporated into Mobile Robotics Navigation, also significant, can overcome conventional navigation algorithms
The shortcoming of training trouble and learning ability difference.The algorithm fusion function of Episodic Memory and motion prediction that Mental rotation is inspired,
The scene that can be seen after movement can be imagined before motion, can avoid what traditional algorithm was caused in multiple trial and error learning
Cost.Further, the navigation algorithm that Mental rotation is inspired has stronger environment transfer ability, can adapt to field complicated and changeable
Scape.
Other advantages, target and the feature of the present invention will be illustrated in the following description to a certain extent, and
And to a certain extent, based on will be apparent to those skilled in the art to investigating hereafter, or can
To be instructed from the practice of the present invention.The target and other advantages of the present invention can be wanted by following specification, right
Structure specifically noted in book, and accompanying drawing is asked to realize and obtain.
Brief description of the drawings
In order that the object, technical solutions and advantages of the present invention are clearer, the present invention is made into one below in conjunction with the accompanying drawings
The detailed narration of step, wherein：
Fig. 1 is the complete brain zone function flow chart of primate Mental rotation；
Fig. 2 is Mental rotation functional block diagram proposed by the present invention.
Embodiment
Below in conjunction with accompanying drawing, method of the present invention is described in further detail；It should be appreciated that preferred embodiments
Only for the explanation present invention, the protection domain being not intended to be limiting of the invention.
Fig. 1 is the complete brain zone function flow chart of primate Mental rotation；Fig. 2 is Mental rotation proposed by the present invention
Functional block diagram, as shown in the figure：The Mental rotation mechanism model for being translated and being rotated based on space-time that the present invention is provided, including with
Lower step：
S1:The space configuration function of parietal cortex on abstract representation, inputs the RGB pictures and 3D point cloud figure of current object,
Export 3 width color characteristic figures, 8 width shape facility figures, 4 width direction characteristic patterns and 1 amplitude point cloud key point characteristic pattern；
S2：The feature and pose matching function of abstract representation prefrontal cortex, input the 16 width characteristic patterns obtained for S1, output
It is characterized and location matches result；
S3：The simulation spinfunction of abstract representation motor cortex, inputs the Dian Yunguan of matching result and the S1 output for S2
Key point feature figure, is output as a series of and time correlation four-dimensional rotation operator；
S4：Mobile robot plans next step Motion according to the obtained rotation operators of S3.
As the further improvement of above-described embodiment, the upper parietal cortex respective modules major function in the step S1 is
Space configuration is carried out, because scene is excessively complicated, we are studied some critical object extracted in target scene, foundation
It is significant road sign or building that our mankind typically can be under selective memory current visual angle in map when map is remembered
Deng.Upper parietal cortex by the color of object, shape, direction and key point characteristic quantification, input for current object RGB pictures and
3D point cloud figure, RGB pictures are used in the extraction of first three feature, and 3D point cloud figure is used in the extraction of crucial point feature.Color uses " face
The double competitions of color " algorithmic notation, i.e. red-green, yellow-blue, black-and-white color pair；Shape is carried out using 8 yardstick gaussian pyramid pictures
Sobel edge extractings are represented；Direction is described using cosine grating and dimensional Gaussian convolution, takes four direction；3D point cloud figure is made
With SIFT operator extraction key points, to simplify data volume.The upper parietal cortex module is output as 3 color characteristic figures, 8 shapes
Shape characteristic pattern, and 4 direction character figures and 1 key point 3D point cloud figure.
As the further improvement of above-described embodiment, the major function of the prefrontal cortex module in the step S2 is feature
And the comparison match of pose, it inputs the 16 width current object characteristic patterns and 16 width target objects obtained for upper parietal cortex module
Characteristic pattern, describes color characteristic figure, shape facility figure with Euclidean distance, direction character figure, the difference of key point 3D point cloud figure,
And then this 4 major class characteristic pattern linear fusion is made comparisons with the value with the threshold value pre-set into a value, judges finding thing
Whether body and target object are same objects, and pose is consistent.If consistent, Mental rotation process is completed, and mobile robot is led
Boat operation is also completed, and current object 3D point cloud figure is fed back into premotor cortex if inconsistent, carries out psychology rotation next time
Turn planning.
As the further improvement of above-described embodiment, the groundwork of the premotor cortex module in the step S3 is mould
Intend rotation current object, input is the crucial point diagram of the 3D point cloud of current object and target object.Realize that using for reference mechanical arm space retouches
The method stated and converted, three-dimensional coordinate system is built first by origin of target object point cloud chart center, then by current thing
The optional position that body is projected in the space, and then using translation operator by the center translation of current object to the origin of coordinates.
Because SIFT algorithms have yardstick independence, the difference for the dimension of object that scene depth can be overcome different and brought, according to
The angle difference average of two amplitude point cloud key points, builds a four-dimensional rotation operator related to current state, including x, y, z, t
The state of (time).With rotation operator simulation rotation current object, key point is matched again, if there is larger difference, is then existed
Simulate and calculate rotation operator x, y, z, a t+1 in postrotational state again, similar to Markov Chain, the shape at t+1 moment
State is only dependent upon the state of t, until matching difference value within a certain range, export a series of four-dimensional rotation operator.
As the further improvement of above-described embodiment, the rotation that mobile robot is exported according to S3 in the step S4 is calculated
Son, plans ensuing track so that camera can turn over certain angle, then using the collection movement of Kinect moving cameras
Later scene graph, and object most like in current scene is matched by the shape template of target object, split the object, will
Its RGB schemes and 3D point cloud figure feeds back to above-mentioned upper parietal cortex module, carries out Mental rotation process next time.Mobile robot
Oneself position is constantly adjusted, finally as makes the scene under its visual angle consistent with target scene as possible.
After multiple Mental rotation, mobile robot can cook up a Rational Path for leading to target scene, whole mistake
The navigation mode that journey is taken when facing unfamiliar condition with the mankind is quite similar, by finding road sign on the way, constantly recalls and works as
First visual angle, rotation matching determines the position that subsequent time should be reached, rather than aimlessly trial and error, so the present invention is right
The cognitive navigation mode of mobile robot has enlightening meaning.
The preferred embodiments of the present invention are the foregoing is only, are not intended to limit the invention, it is clear that those skilled in the art
Member can carry out various changes and modification to the present invention without departing from the spirit and scope of the present invention.So, if the present invention
These modifications and variations belong within the scope of the claims in the present invention and its equivalent technologies, then the present invention is also intended to include these
Including change and modification.
Claims (5)
1. the Mental rotation mechanism implementation model for being translated and being rotated based on space-time, it is characterised in that：Comprise the following steps：
S1:The space configuration function of parietal cortex on abstract representation, inputs the RGB pictures and 3D point cloud figure of current object, output 3
Width color characteristic figure, 8 width shape facility figures, 4 width direction characteristic patterns and 1 amplitude point cloud key point characteristic pattern；
S2：The feature and pose matching function of abstract representation prefrontal cortex, input the 16 width characteristic patterns obtained for S1, are output as spy
Seek peace the matching result of position；
S3：The simulation spinfunction of abstract representation motor cortex, inputs the point cloud key point of matching result and the S1 output for S2
Characteristic pattern, is output as a series of and time correlation four-dimensional rotation operator；
S4：Mobile robot plans next step Motion according to the obtained rotation operators of S3.
2. the Mental rotation mechanism implementation model for being translated and being rotated based on space-time according to patent requirements 1, its feature
It is：Upper parietal cortex respective modules major function in the step S1 is to carry out space configuration, is extracted in target scene
Some critical object is studied.The color of object, shape, direction and key point characteristic quantification are inputted and are by upper parietal cortex
The RGB pictures and 3D point cloud figure of current object, RGB pictures are used in the extraction of first three feature, and it is special that 3D point cloud figure is used in key point
The extraction levied.Color is using " the double competitions of color " algorithmic notation；Shape carries out Sobel sides using 8 yardstick gaussian pyramid pictures
Edge, which is extracted, to be represented；Direction is described using cosine grating and dimensional Gaussian convolution；It is crucial using SIFT operator extractions to 3D point cloud figure
Point, to simplify data volume.The upper parietal cortex module is output as 3 color characteristic figures, 8 shape facility figures, and 4 directions
Characteristic pattern and 1 key point 3D point cloud figure.
3. the Mental rotation mechanism implementation model for being translated and being rotated based on space-time according to patent requirements 1, its feature
It is：The major function of prefrontal cortex module in the step S2 is feature and the comparison match of pose, and it is upper top that it, which is inputted,
16 width current object characteristic patterns and 16 width target object characteristic patterns that leaves layer module is obtained, color are described with Euclidean distance special
Levy figure, shape facility figure, direction character figure, the difference of key point 3D point cloud figure, so by this 4 major class characteristic pattern linear fusion into
One value, is made comparisons with the threshold value pre-set with the value, judges whether current object and target object are same objects, and
And pose is consistent.If consistent, Mental rotation process is completed, and Mobile Robotics Navigation operation is also completed, will be current if inconsistent
Object 3D point cloud figure feeds back to premotor cortex, carries out Mental rotation planning next time.
4. the Mental rotation mechanism implementation model for being translated and being rotated based on space-time according to patent requirements 1, its feature
It is：The groundwork of premotor cortex module in the step S3 is simulation rotation current object, and input is current object
With the crucial point diagram of 3D point cloud of target object.The method for using for reference mechanical arm spatial description and conversion, first with target object point cloud
Figure center is that origin builds three-dimensional coordinate system, the optional position for then projecting to current object in the space, and then is adopted
With translation operator by the center translation of current object to the origin of coordinates.According to the angle difference average of two amplitude point cloud key points,
A four-dimensional rotation operator related to current state is built, includes x, y, z, t (time) state.Simulated and revolved with rotation operator
Turn current object, key point is matched again, if there is larger difference, then calculate one again on postrotational state is simulated
Rotation operator x, y, z, t+1, similar to Markov Chain, the state at t+1 moment is only dependent upon the state of t, until matching
Difference value within a certain range, exports a series of four-dimensional rotation operator.
5. the Mental rotation mechanism implementation model for being translated and being rotated based on space-time according to patent requirements 1, its feature
It is：The rotation operator that mobile robot is exported according to S3 in the step S4, plans ensuing track so that camera energy
Certain angle is enough turned over, then the scene graph after being moved through, and the shape for passing through target object is gathered using Kinect moving cameras
Most like object, splits the object in shape template matches current scene, and its RGB is schemed and 3D point cloud figure feeds back to above-mentioned upper
Parietal cortex module, carries out Mental rotation process next time.Mobile robot constantly adjusts oneself position, finally to the greatest extent may be used
The scene under its visual angle can be made consistent with target scene.
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