Visual Hull from Imprecise Polyhedral Scene

2011 International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission ◽

10.1109/3dimpvt.2011.28 ◽

2011 ◽

Cited By ~ 1

Author(s):

Peng He ◽

Abbas Edalat

Keyword(s):

Visual Hull ◽

Polyhedral Scene

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Markerless Motion Capture through Visual Hull, Articulated ICP and Subject Specific Model Generation

International Journal of Computer Vision ◽

10.1007/s11263-009-0284-3 ◽

2009 ◽

Vol 87 (1-2) ◽

pp. 156-169 ◽

Cited By ~ 103

Author(s):

Stefano Corazza ◽

Lars Mündermann ◽

Emiliano Gambaretto ◽

Giancarlo Ferrigno ◽

Thomas P. Andriacchi

Keyword(s):

Motion Capture ◽

Specific Model ◽

Model Generation ◽

Visual Hull ◽

Markerless Motion Capture ◽

Subject Specific

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Polyhedral Scene: Mosaic Construction from 2 Images Taken under the General Case

Computer Analysis of Images and Patterns - Lecture Notes in Computer Science ◽

10.1007/978-3-540-45179-2_80 ◽

2003 ◽

pp. 655-663

Author(s):

Yong He ◽

Ronald Chung

Keyword(s):

Polyhedral Scene

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Visual hull-based prediction framework for 3D object coding

2012 Picture Coding Symposium ◽

10.1109/pcs.2012.6213333 ◽

2012 ◽

Author(s):

Sung Soo Hwang ◽

Sujung Kim ◽

Seong-Dae Kim ◽

Sang-Young Park

Keyword(s):

Visual Hull ◽

3D Object ◽

Object Coding

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Bottom and Concave Surface Rendering in Image-based Visual Hull

International Journal of Virtual Reality ◽

10.20870/ijvr.2009.8.2.2723 ◽

2009 ◽

Vol 8 (2) ◽

pp. 39-44

Author(s):

Jie Feng ◽

Bencong Song ◽

Bingfeng Zhou

Keyword(s):

Efficient Method ◽

Concave Surface ◽

Visual Hull ◽

Surface Rendering ◽

Lower Side ◽

Object Surface

Bottom and concave shapes on object surface are difficult to reconstruct in image-based visual hull method. In this paper, we propose a simple but efficient method to solve these problems in regular image-based visual hull framework. With the help of a simple image acquiring platform which involves a glass and a mirror, we can capture images of the object from both upper and lower side at the same time. Using these images, silhouette cones necessary for reconstructing the bottom and the concave surfaces could be generated. Therefore the final rendering result of the object can be significantly improved in accuracy and reality, especially in the parts of bottom and concaves.

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