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» Learning 3D Appearance Models from Video
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ISBI
2007
IEEE
14 years 3 months ago
Locally Adaptive Autoregressive Active Models for Segmentation of 3d Anatomical Structures
Many techniques of knowledge-based segmentation consist of building statistical models that describe the deformations of the structure of interest, and then fit these models to t...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...
AMFG
2005
IEEE
203views Biometrics» more  AMFG 2005»
14 years 2 months ago
Learning to Fuse 3D+2D Based Face Recognition at Both Feature and Decision Levels
2D intensity images and 3D shape models are both useful for face recognition, but in different ways. While algorithms have long been developed using 2D or 3D data, recently has see...
Stan Z. Li, ChunShui Zhao, Meng Ao, Zhen Lei
CHI
2004
ACM
14 years 9 months ago
A suggestive interface for image guided 3D sketching
We present an image guided pen-based suggestive interface for sketching 3D wireframe models. Rather than starting from a blank canvas, existing 2D images of similar objects serve ...
Steve Tsang, Ravin Balakrishnan, Karan Singh, Abhi...
CVPR
2009
IEEE
15 years 3 months ago
Visibility Constraints on Features of 3D Objects
To recognize three-dimensional objects it is important to model how their appearances can change due to changes in viewpoint. A key aspect of this involves understanding which o...
Ronen Basri, Pedro F. Felzenszwalb, Ross B. Girshi...
IEEECGIV
2006
IEEE
14 years 2 months ago
Synthesizing Free-Viewpoint Images from Multiple View Videos in Soccer Stadium
We propose a new method for synthesizing freeviewpoint images from multiple view videos in soccer stadium. The previous method[1] can synthesize virtual viewpoint images at only i...
Kunihiko Hayashi, Hideo Saito