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An orientation detection model based on fitting from multiple local hypotheses 1

19th International Conference on Neural Information Processing, ICONIP 2012

作者： Wei, Hui Ren, Yuan Lab. of Cognitive Model and Algorithm School of Computer Science Fudan University Shanghai 200433 China

ISBN: (数字)9783642344817

ISBN: (纸本)9783642344800

Orientation detection is an important step in image understanding. Simple cells in the primary visual cortex are sensitive to stimuli of specific orientation. Hubel and Wiesel's classical theory attributes orientation selection in a simple cell to the aligned receptive fields of the retinal ganglion cells and the lateral geniculate nucleus cells. It is hypothesized that these receptive fields are similar in size and sub-structure. Current anatomical and electrophysiological evidence is not sufficient to support this geometric-arrangement-based model. Additionally, this feedforward model is incomplete in the implementation details of neural computation. The proposed algebraic model satisfies local constraints from afferent neurons and estimates the orientation of the stimulus. This constraint satisfaction based approach achieves desirable results on challenging image dataset, and can also be used to explain visual illusions. © 2012 Springer-Verlag.

关键词： Cells

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3D information acquisition from rectangles and circles in single images

3D information acquisition from rectangles and circles in si...

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2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009

作者： Ren, Yuan Wei, Hui Lab. of Algorithm for Cognitive Model School of Computer Science Fudan University Shanghai 200433 China

ISBN: (纸本)9780769535074

This paper presents a monocular approach of partially recovering three-dimensional information from rectangles and circles with proper prior knowledge. Taking image-formation process as projective transform, we first work out the focal length of an image with a common perspective rectangle and further obtain normal vectors of the supporting planes of rectangles and circles and relative depths of each point on the planes with respect to camera coordinate system. The absolute depths and other information about lengths and distances are also acquirable with reasonable estimation or measurement of side lengths and radius. The experimental results suggest good feasibility and acceptable precision of our approach. © 2008 IEEE.

关键词： Geometry

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Hierarchical model for perception memory based on connected graph and dynamic process

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Ruan Jian Xue Bao/Journal of Software 2004年第11期15卷 1616-1628页

作者： Wei, Hui Luan, Shang-Min Algorithm for Cognitive Model Lab. Dept. of Comp. Sci. and Eng. Fudan Univ. Shanghai 200433 China Lab. of Intelligent Info. Proc. Inst. of Comp. Technol. Chinese Acad. of Sci. Beijing 100080 China Inst. of Artificial Intelligence Dept. of Comp. Sci. and Eng. Zhejiang Univ. Hangzhou 310027 China Inst. of Software Chinese Acad. of Sci. Beijing 100080 China

One of the interferences between inheritance and concurrency is inheritance anomaly. From the view of cognitive computational neuroscience, a direct information representation method is presented based on neural system dynamics and graphic theory. A group of neurons and their connections representing perceptual information directly and the dynamical behaviors of neurons are defined firstly, and then a two-layer neural network is designed to record characteristics of stimulus and connect a specialized neural circuit that responding to the perception of that stimulus respectively. This could be achieved by the structure learning algorithm. The circuit constituted by neurons in two layers is also served as an associative memory of stimulus whose credibility is decided by the degree of connection of the circuit. The direct representation method is of very significance to the research of semantic representation and inference driven by semantics in artificial intelligence.

关键词： Neural networks

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