A model of human estimation of 3D shape from shading information using zero crossings

Author(s):  
S. Kondo ◽  
K. Atsuta
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):  

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):  

2012 ◽  
Vol 201-202 ◽  
pp. 344-347
Author(s):  
Yong Chen Yang ◽  
Xiang Dong Gao

Shape from shading (SFS) is one of the critical techniques in 3D shape recovery in computer vision. The task of SFS is to reconstruct 3D shape of the visible surface of an object from one single picture using its gray variation. Analyzing the 3D shape of welding pool is important to evaluate the welding quality. During the disk laser welding experiments, a high-power laser was used as the auxiliary illuminant, and a high-speed image acquisition system with infrared filter was applied to capture the welding pools in real time. The slant and tilt of illuminant source were estimated by statistics to reconstruct the 3D shape of welding pool visible surface by using the localization method of SFS. Methods of median filter and cubic spline interpolation were used to denoise images and smooth the image shapes. Experimental results showed that the proposed technique could reconstruct parts of welding pool effectively.


2017 ◽  
Vol 17 (10) ◽  
pp. 324
Author(s):  
Makaela Nartker ◽  
James Todd ◽  
Alexander Petrov
Keyword(s):  

2014 ◽  
Vol 472 ◽  
pp. 503-509
Author(s):  
Lapo Governi ◽  
Rocco Furferi ◽  
Luca Puggelli ◽  
Yary Volpe

Design of new industrial objects characterized by high stylistic content often starts from sketches or images of the product to be, subsequently, represented in a 3D digital form by using CAD software. To speed up this phase, a number of methods for automatic or semi-automatic translation of sketches or images into a 3D model have been devised all over the world also for reverse engineering purposes. When the image shading is a crucial information for recovering the final 3D shape, Fast Marching is recognized to be among the best method to date, especially for frontally illuminated scenes. Unfortunately, such a method cannot be directly applied when object illumination in the considered image is oblique. The present work is aimed to propose a simple, but effective, approach for recovering 3D shape of objects starting from single side illuminated scenes i.e. for solving non-eikonal SFS problems. Tested against a set of case studies, the method proved its effectiveness.


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