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ICIP
2001
IEEE
16 years 5 months ago
Disparity map restoration by integration of confidence in Markov random fields models
This paper proposes some Markov Random Field (MRF) models for restoration of stereo disparity maps. The main aspect is the use of confidence maps provided by the Symmetric Multipl...
Andrea Fusiello, Umberto Castellani, Vittorio Muri...
131
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ICPR
2008
IEEE
16 years 5 months ago
Usage of needle maps and shadows to overcome depth edges in depth map reconstruction
Photometric stereo is a method of recovering surface normals (needle map) from images. The surface integral of surface normals is used to reconstruct a depth map; however, the dep...
Koh Kakusho, Koki Hamada, Masaaki Iiyama, Michihik...
ICPR
2008
IEEE
16 years 5 months ago
Human appearance matching across multiple non-overlapping cameras
In this paper, we present a new solution to the problem of appearance matching across multiple nonoverlapping cameras. Objects of interest, pedestrians are represented by a set of...
Kaiqi Huang, Tieniu Tan, Yinghao Cai
ICPR
2004
IEEE
16 years 4 months ago
Semantic Object Segmentation by a Spatio-Temporal MRF Model
In this paper, a region-based spatio-temporal Markov random field (STMRF) model is proposed to segment moving objects semantically. The STMRF model combines segmentation results o...
Wei Zeng, Wen Gao
ICIP
2009
IEEE
16 years 4 months ago
Shape Prior Criterion Based On Tchebichef Moments In Variational Region Growing
Region growing has become a popular method for 3D segmentation. Starting from a seed, this approach allows one to extract a region by merging all its neighbors and comparing the e...