NDLI: Computational theory and neural network model of perceiving shape from shading in monocular depth perception

Content Provider	IEEE Xplore Digital Library
Author	Hayakawa, H. Inui, T. Kawato, M.
Copyright Year	1991
Description	Author affiliation: ATR Auditory & Visual Perception Res. Lab., Kyoto, Japan (Hayakawa, H.; Inui, T.; Kawato, M.)
Abstract	Proposes a computational theory and a neural network model of perceiving shape from shading in monocular depth perception based on physiological knowledge of visual cerebral cortices. The network estimates the surface orientation of three-dimensional objects from two-dimensional gray-level image data through the interaction between two layers. In the forward connection, approximated inverse optics are calculated by a one-shot algorithm; the surface slant and tilt are estimated from derivatives of image intensity. In the backward connection, optics are calculated; the estimated surface orientation is transformed into the derivatives of image intensity. It was found that the network can estimate the surface orientation of an arbitrary smooth object with a small number of iterations (typically less than ten times).
Starting Page	649
Ending Page	654
File Size	657110
Page Count	6
File Format	PDF
ISBN	0780301641
DOI	10.1109/IJCNN.1991.155256
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1991-07-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer networks Neural networks Shape Intelligent networks Inverse problems Humans Reflectivity Image generation Integral equations Laplace equations
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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