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» Bayesian 3D Modeling from Images Using Multiple Depth Maps
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BMVC
2000
15 years 3 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
127
Voted
ICIP
2002
IEEE
16 years 4 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
119
Voted
ICIP
2008
IEEE
16 years 4 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
141
Voted
MICCAI
2005
Springer
16 years 3 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...
184
Voted
ECCV
2006
Springer
16 years 4 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