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» Bayesian 3D Modeling from Images Using Multiple Depth Maps
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VRST
2000
ACM
15 years 6 months ago
Interactive 3D modeling using only one image
For virtual reality systems, modeling of 3D objects and scenes is important and challenging. In this paper, we present an image-based interactive 3D modeling framework consisting ...
Sujin Liu, Zhiyong Huang
142
Voted
IVC
2010
289views more  IVC 2010»
15 years 26 days ago
Automatic 3D object segmentation in multiple views using volumetric graph-cuts
We propose an algorithm for automatically obtaining a segmentation of a rigid object in a sequence of images that are calibrated for camera pose and intrinsic parameters. Until re...
Neill D. F. Campbell, George Vogiatzis, Carlos Her...
CVPR
2006
IEEE
15 years 8 months ago
A Generalized EM Approach for 3D Model Based Face Recognition under Occlusions
This paper describes an algorithm for pose and illumination invariant face recognition from a single image under occlusions. The method iteratively estimates the parameters of a 3...
Michael De Smet, Rik Fransens, Luc J. Van Gool
ICPR
2002
IEEE
16 years 3 months ago
A Bayesian Approach to Video Object Segmentation via Merging 3D Watershed Volumes
In this paper, we propose a Bayesian approach to video object segmentation. Our method consists of two stages. In the first stage, we partition the video data into a set of 3D wate...
Yi-Ping Hung, Yu-Pao Tsai, Chih-Chuan Lai
177
Voted
CVPR
2012
IEEE
13 years 4 months ago
View invariant human action recognition using histograms of 3D joints
In this paper, we present a novel approach for human action recognition with histograms of 3D joint locations (HOJ3D) as a compact representation of postures. We extract the 3D sk...
Lu Xia, Chia-Chih Chen, J. K. Aggarwal