"In Search of Memory" by Eric R. Kandel, winner of the Nobel prize.
a well written summary of neuroscience... with focus on memory.
and his life experience and wisdom.
i should have read this book earlier...
then it could have changed my research and even my life.
this is a must read to engineering or science students...
Showing posts with label psychology. Show all posts
Showing posts with label psychology. Show all posts
Active Control..
K. L. Harman, G. K. Humphrey, and M. A. Goodale, "Active Manual Control of Object Views Facilitates Visual Recognition," Current Biology, Vol. 9, No 22. pp1315-1318. 1999.
To sum up, first, observers who have active control on the object have better recognition than others who see the same sequence passively. The response time is shorter but accuracy is the same which is a little ackward. Second, active observers concentrate on certain angles than others. That is, this paper is kind of the first paper to emphasize on the active control.
But the reason why it is efficient is still a research topic to go.
In a word, active control is important on recognition, which now we all know and agree to... :)
- H. Choi
To sum up, first, observers who have active control on the object have better recognition than others who see the same sequence passively. The response time is shorter but accuracy is the same which is a little ackward. Second, active observers concentrate on certain angles than others. That is, this paper is kind of the first paper to emphasize on the active control.
But the reason why it is efficient is still a research topic to go.
In a word, active control is important on recognition, which now we all know and agree to... :)
- H. Choi
3D Geon Classification
W. Xing, W. Liu and B. Yuan, "A Novel Integrated Scheme for Extracting Superquadric-based Geons from 3D data," in Proc. of ICSP'04, 2004.
To my knowledge, this paper is the first paper to try to implement Geon Theory, even though this is just about Geon classification. They build up a superquadric-based model for 3D object data and optimize the parameters. And then they apply SVM to the extracted features from the parameters of the model to classify the object into geon classes.
This is not about 2D image but 3D data. And this makes a model for each 3D data and extract some features from the model parameters, which might be rotation and transition invariant. This does not sound natural and not a visual recognition.
- H. Choi
To my knowledge, this paper is the first paper to try to implement Geon Theory, even though this is just about Geon classification. They build up a superquadric-based model for 3D object data and optimize the parameters. And then they apply SVM to the extracted features from the parameters of the model to classify the object into geon classes.
This is not about 2D image but 3D data. And this makes a model for each 3D data and extract some features from the model parameters, which might be rotation and transition invariant. This does not sound natural and not a visual recognition.
- H. Choi
Geon Theory and Its Implementation (?)
K. Casey and C. Exton, "A Java 3D Implementation of a Geon Based Visualisation Tool for UML," PPPJ 2003, Kilkenny City, Ireland, 16-18 June, 2003.
I was googling to check if there has been any kind of implementation of Geon Theory. So, when I typed in 'goen' and 'implementation,' this paper popped up to my surprise. I was thinking this theory was too hard to be implemented.
But... it turned out that this paper is just about the implementation of a visualization tool based on geon theory... not implementation of geon theory, in that the geons and their relations are equivalent to ULM diagram, which is a visual language for modeling software designs.
Anyway, so far, to my knowledge, there has been no successful implementation of Geon Theory. If you know any implementation, plz let me know. :)
- H. Choi
I was googling to check if there has been any kind of implementation of Geon Theory. So, when I typed in 'goen' and 'implementation,' this paper popped up to my surprise. I was thinking this theory was too hard to be implemented.
But... it turned out that this paper is just about the implementation of a visualization tool based on geon theory... not implementation of geon theory, in that the geons and their relations are equivalent to ULM diagram, which is a visual language for modeling software designs.
Anyway, so far, to my knowledge, there has been no successful implementation of Geon Theory. If you know any implementation, plz let me know. :)
- H. Choi
Three-dimensional object recognition
M. J. Tarr, P. Williams, W. G. Hayward and I. Gauthier, "Three-Dimensional Object Recognition is Viewpoint Dependent," Nature Neuroscience, Vol. 1, No 4, 1998. pp275-277.
It is a little against Biederman's RBC (recognition-by-components) which is based on geons and their relations. Biederman's geons are viewpoint independent. This paper says they are not independent.
Obviously, object recognition is a viewpoint-dependent process. So this paper makes more sense. And this paper makes a way to connect this whole things to X which means a lot to me*.
One thing more interesting is one of the assumptions of whole this geon theory, which is that recognition of individual geons are equally accurate. Actually in real pattern recognition, it is a big deal. We should handle this first, if we want this theory.
* X refers to something that I am currently working on.
- H. Choi
It is a little against Biederman's RBC (recognition-by-components) which is based on geons and their relations. Biederman's geons are viewpoint independent. This paper says they are not independent.
Obviously, object recognition is a viewpoint-dependent process. So this paper makes more sense. And this paper makes a way to connect this whole things to X which means a lot to me*.
One thing more interesting is one of the assumptions of whole this geon theory, which is that recognition of individual geons are equally accurate. Actually in real pattern recognition, it is a big deal. We should handle this first, if we want this theory.
* X refers to something that I am currently working on.
- H. Choi
Visual Recognition
K. Grill-Spector and N. Kanwisher, "Visual Recognition: As soon as you know it is there, you know what it is," Psychological Science, Vol 16, No 2, 2005. pp152-160
It tests two hypotheses about processing order between detection and recognition, between basic level recognition and other level recognition. To sum up, detection (or segmentation) and recognition work at the same time and general categorization is faster than finer level identification. And we can not tell nothing more than these, which are still hidden mysteries.
It is really amazing and intuitive that detection and recognition are not independent and work together. We should try to recognize an object and the class information should be applied to segment the object and the segmentation result should be used to classify the object again and again. Does it sound familiar to you? Yes!!! It sounds like the EM algorithm. How beautiful!!!
- H. Choi
It tests two hypotheses about processing order between detection and recognition, between basic level recognition and other level recognition. To sum up, detection (or segmentation) and recognition work at the same time and general categorization is faster than finer level identification. And we can not tell nothing more than these, which are still hidden mysteries.
It is really amazing and intuitive that detection and recognition are not independent and work together. We should try to recognize an object and the class information should be applied to segment the object and the segmentation result should be used to classify the object again and again. Does it sound familiar to you? Yes!!! It sounds like the EM algorithm. How beautiful!!!
- H. Choi
Visual Object Recognition
Chapter 4 Visual Object Recognition, Irving Biederman
in An Invitation to Cognitive Science, 2nd Edition, Visual Cognition, Vol2.
It's about a psychological understanding on viewpoint-invariant object recognition. Especially it says about Geon Theory. Geon is a component of an object, which is viewpoint-invariant and object recognition is based on geons and their relations with other geons.
So far so good...
As always in some psycological research, however, we don't know how to find these geons and the relations from image inputs. With different illuminations, different angles and noise and background, finding geons is a big deal itself in machine-based object recognition. Even the experiments in this book were conducted with human brain. It says just what the result of brain function on visual input is, not how it works in details. So it doesn't say that much about how to implement this concept in machine.
- H. Choi
in An Invitation to Cognitive Science, 2nd Edition, Visual Cognition, Vol2.
It's about a psychological understanding on viewpoint-invariant object recognition. Especially it says about Geon Theory. Geon is a component of an object, which is viewpoint-invariant and object recognition is based on geons and their relations with other geons.
So far so good...
As always in some psycological research, however, we don't know how to find these geons and the relations from image inputs. With different illuminations, different angles and noise and background, finding geons is a big deal itself in machine-based object recognition. Even the experiments in this book were conducted with human brain. It says just what the result of brain function on visual input is, not how it works in details. So it doesn't say that much about how to implement this concept in machine.
- H. Choi
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