Perspective shape-from-shading by fast marching

DMCA

Perspective shape-from-shading by fast marching (2004)

Cached

Download Links

Other Repositories/Bibliography

DBLP

by Ariel Tankus , Nir Sochen , Yehezkel Yeshurun

Venue:	IEEE Conf. on Computer Vision and Pattern Recognition 1
Citations:	22 - 2 self

BibTeX

@INPROCEEDINGS{Tankus04perspectiveshape-from-shading,
    author = {Ariel Tankus and Nir Sochen and Yehezkel Yeshurun},
    title = {Perspective shape-from-shading by fast marching},
    booktitle = {IEEE Conf. on Computer Vision and Pattern Recognition 1},
    year = {2004},
    pages = {43--49}
}

OpenURL

Abstract

Shape-from-Shading (SfS) is a fundamental problem in Computer Vision. At its basis lies the image irradiance equation. Recently, the authors proposed to base the image irradiance equation on the assumption of perspective projection rather than the common orthographic one. The current paper presents a greatly-improved reconstruction method based on the perspective formulation. The proposed model is solved efficiently via a modification of the Fast Marching method of Kimmel and Sethian. We compare the two versions of the Fast Marching method (orthographic vs. perspective) on medical images. The perspective algorithm outperformed the orthographic one. This shows that the more realistic hypothesis of perspective projection improves reconstruction significantly. The comparison also demonstrates the usability of perspective SfS for real-life applications such as medical endoscopy. 1.

Keyphrases

perspective shape-from-shading fast marching image irradiance equation fast marching method perspective projection common orthographic one orthographic one fundamental problem current paper orthographic v perspective sfs real-life application greatly-improved reconstruction method realistic hypothesis medical image perspective formulation perspective algorithm computer vision medical endoscopy

DMCA