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» Surface Reconstruction using Learned Shape Models
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VISAPP
2008
13 years 10 months ago
Continuous Learning of Simple Visual Concepts Using Incremental Kernel Density Estimation
In this paper we propose a method for continuous learning of simple visual concepts. The method continuously associates words describing observed scenes with automatically extracte...
Danijel Skocaj, Matej Kristan, Ales Leonardis
SMA
2006
ACM
150views Solid Modeling» more  SMA 2006»
14 years 2 months ago
Conformal virtual colon flattening
We present an efficient colon flattening algorithm using conformal structure, which is angle-preserving and minimizes the global distortion. Moreover, our algorithm is general w...
Wei Hong, Xianfeng Gu, Feng Qiu, Miao Jin, Arie E....

Publication
583views
14 years 6 months ago
A Camera flash based projector system for true scale metric reconstruction
Computer vision techniques have been applied for rapid and accurate structure recovery in many fields. Most methods perform poorly in areas containing little or no texture and i...
Rohith MV, Gowri Somanath, Debra Norris, Jennifer ...
CVPR
2009
IEEE
15 years 4 months ago
Nonrigid Shape Recovery by Gaussian Process Regression
Most state-of-the-art nonrigid shape recovery methods usually use explicit deformable mesh models to regularize surface deformation and constrain the search space. These triangu...
Jianke Zhu, Michael R. Lyu, Steven C. H. Hoi
IPMI
2001
Springer
14 years 9 months ago
Deformation Analysis for Shape Based Classification
Statistical analysis of anatomical shape differences between two different populations can be reduced to a classification problem, i.e., learning a classifier function for assignin...
Polina Golland, W. Eric L. Grimson, Martha Elizabe...