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» Bayesian 3D Modeling from Images Using Multiple Depth Maps
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BMVC
2000
13 years 10 months ago
Quantifying Ambiguities in Inferring Vector-Based 3D Models
This paper presents a framework for directly addressing issues arising from self-occlusions and ambiguities due to the lack of depth information in vector-based representations. V...
Eng-Jon Ong, Shaogang Gong
ICIP
2002
IEEE
14 years 10 months ago
Joint space-time image sequence segmentation based on volume competition and level sets
In this paper, we address the issue of joint space-time segmentation of image sequences. Typical approaches to such segmentation consider two image frames at a time, and perform t...
Mirko Ristivojevic, Janusz Konrad
ICIP
2008
IEEE
14 years 10 months ago
2D/3D freeview video generation for 3DTV system
In this paper, we present a new method of synthesizing novel views from the virtual cameras in multiview camera configurations for 3DTV system. We introduce a semi N-view & N-...
Dong Bo Min, Donghyun Kim, Kwanghoon Sohn
MICCAI
2005
Springer
14 years 9 months ago
2D and 3D Shape Based Segmentation Using Deformable Models
A novel shape based segmentation approach is proposed by modifying the external energy component of a deformable model. The proposed external energy component depends not only on t...
Ayman El-Baz, Seniha Esen Yuksel, Hongjian Shi, Al...
ECCV
2006
Springer
14 years 10 months ago
Modeling 3D Objects from Stereo Views and Recognizing Them in Photographs
Local appearance models in the neighborhood of salient image features, together with local and/or global geometric constraints, serve as the basis for several recent and effective...
Akash Kushal, Jean Ponce