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» Computational methods for understanding 3D shapes
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WACV
2007
IEEE
14 years 3 months ago
Warped Document Image Restoration Using Shape-from-Shading and Physically-Based Modeling
With the pervasive use of handheld digital devices such as camera phones and PDAs, people have started to capture images as a way of recording information. However, due to the non...
Li Zhang, Chew Lim Tan
ICCV
1995
IEEE
14 years 17 days ago
Alignment by Maximization of Mutual Information
A new information-theoretic approach is presented for finding the pose of an object in an image. The technique does not require information about the surface properties of the ob...
Paul A. Viola, William M. Wells III
ECCV
2010
Springer
13 years 10 months ago
Piecewise Quadratic Reconstruction of Non-Rigid Surfaces from Monocular Sequences
Abstract. In this paper we present a new method for the 3D reconstruction of highly deforming surfaces (for instance a flag waving in the wind) viewed by a single orthographic came...
João Fayad, Lourdes de Agapito, Alessio Del...

Publication
1500views
15 years 10 months ago
Robust Centerline Extraction Framework Using Level Sets
In this paper, we present a novel framework for computing centerlines for both 2D and 3D shape analysis. The framework works as follows: an object centerline point is selected aut...
M. Sabry Hassouna, Aly A. Farag
ACCV
2006
Springer
14 years 23 days ago
Classification of Photometric Factors Based on Photometric Linearization
We propose a new method for classification of photometric factors, such as diffuse reflection, specular reflection, attached shadow, and cast shadow. For analyzing real images, we ...
Yasuhiro Mukaigawa, Yasunori Ishii, Takeshi Shakun...