scholarly journals The role of smooth occlusions in the perception of 3D shape from shading

2013 ◽  
Vol 13 (9) ◽  
pp. 260-260
Author(s):  
E. Egan ◽  
J. T. Todd
Keyword(s):  
2015 ◽  
Vol 15 (15) ◽  
pp. 2 ◽  
Author(s):  
James T. Todd ◽  
Eric J. L. Egan ◽  
Christopher S. Kallie
Keyword(s):  

2016 ◽  
Vol 16 (12) ◽  
pp. 657
Author(s):  
Makaela Nartker ◽  
Christopher Kallie ◽  
James Todd
Keyword(s):  

1999 ◽  
Vol 18 (1) ◽  
pp. 9-19 ◽  
Author(s):  
A.J O'Toole ◽  
T Price ◽  
T Vetter ◽  
J.C Bartlett ◽  
V Blanz

Perception ◽  
10.1068/p3065 ◽  
2000 ◽  
Vol 29 (6) ◽  
pp. 729-743 ◽  
Author(s):  
Chang Hong Liu ◽  
Charles A Collin ◽  
Avi Chaudhuri

It is now well known that processing of shading information in face recognition is susceptible to bottom lighting and contrast reversal, an effect that may be due to a disruption of 3-D shape processing. The question then is whether the disruption can be rectified by other sources of 3-D information, such as shape-from-stereo. We examined this issue by comparing identification performance either with or without stereo information using top-lit and bottom-lit face stimuli in both photographic positive and negative conditions. The results show that none of the shading effects was reduced by the presence of stereo information. This finding supports the notion that shape-from-shading overrides shape-from-stereo in face perception. Although shape-from-stereo did produce some signs of facilitation for face identification, this effect was negligible. Together, our results support the view that 3-D shape processing plays only a minor role in face recognition. Our data are best accounted for by a weighted function of 2-D processing of shading pattern and 3-D processing of shapes, with a much greater weight assigned to 2-D pattern processing.


2010 ◽  
Vol 2 (7) ◽  
pp. 299-299
Author(s):  
J. Schlerf ◽  
F. Domini
Keyword(s):  
3D Shape ◽  

Author(s):  
Vania V. Estrela ◽  
A. M. Coelho

Progress in image sensors and computation power has fueled studies to improve acquisition, processing, and analysis of 3D streams along with 3D scenes/objects reconstruction. The role of motion compensation/motion estimation (MCME) in 3D TV from end-to-end user is investigated in this chapter. Motion vectors (MVs) are closely related to the concept of disparities, and they can help improving dynamic scene acquisition, content creation, 2D to 3D conversion, compression coding, decompression/decoding, scene rendering, error concealment, virtual/augmented reality handling, intelligent content retrieval, and displaying. Although there are different 3D shape extraction methods, this chapter focuses mostly on shape-from-motion (SfM) techniques due to their relevance to 3D TV. SfM extraction can restore 3D shape information from a single camera data.


2020 ◽  
Vol 177 ◽  
pp. 88-96
Author(s):  
Beverley Pickard-Jones ◽  
Giovanni d'Avossa ◽  
Ayelet Sapir

i-Perception ◽  
10.1068/i0645 ◽  
2014 ◽  
Vol 5 (6) ◽  
pp. 497-514 ◽  
Author(s):  
James T. Todd ◽  
Eric J. L. Egan ◽  
Flip Phillips
Keyword(s):  

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