Computational Model for Human 3D Shape Perception From a Single Specular Image-Reference-Cited by-同舟云学术

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Computational Model for Human 3D Shape Perception From a Single Specular Image

Published:2019-03-01 Issue: Volume:13 Page:
ISSN:1662-5188
Container-title:Frontiers in Computational Neuroscience
language:
Short-container-title:Front. Comput. Neurosci.

Author:

Shimokawa Takeaki,Nishio Akiko,Sato Masa-aki,Kawato Mitsuo,Komatsu Hidehiko

Funder

Ministry of Education, Culture, Sports, Science and Technology

Publisher

Frontiers Media SA

Subject

Cellular and Molecular Neuroscience,Neuroscience (miscellaneous)

Reference72 articles.

1. Shape from specular flow;Adato;IEEE Trans. Pattern Anal. Mach. Intell.,2010

2. “On seeing stuff: the perception of materials by humans and machines,”;Adelson,2001

3. Image statistics do not explain the perception of gloss and lightness;Anderson;J. Vis.,2009

4. Cross-cultural effects on the assumed light source direction: evidence from English and Hebrew readers;Andrews;J. Vis.,2013

5. A survey of specularity removal methods;Artusi;Comput. Graph. Forum,2011

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1. Extraction of three-dimensional shapes in glaucoma patients in response to monocular depth cues;Japanese Journal of Ophthalmology;2024-04-10

2. 3D shape recovery algorithm from image orientations of textured surfaces;Journal of the Optical Society of America A;2023-08-08

3. The perception of translucency from surface gloss;Vision Research;2023-04

4. Relationship Between the Activities of Gloss-Selective Neurons in the Macaque Inferior Temporal Cortex and the Gloss Discrimination Behavior of the Monkey;Cerebral Cortex Communications;2021-01-01

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