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» Iterative MAP and ML Estimations for Image Segmentation
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MVA
2007
162views Computer Vision» more  MVA 2007»
13 years 7 months ago
Location-Based Tracking of Moving Obstacles from a Mobile Robot
Tracking moving obstacles from a moving platform is a useful skill for the coming generation of mobile robot. The methods used in existing moving objects tracking that operated fr...
Thatsaphan Suwannathat, Jun-ichi Imai, Masahide Ka...
MVA
2002
186views Computer Vision» more  MVA 2002»
13 years 7 months ago
Identifying Body Parts of Multiple People in Multi-Camera Images
In order to track and recognize the movements of multiple people using multiple cameras, each person needs to be segmented and identified in the image of each camera. We propose a...
Masafumi Tominaga, Hitoshi Hongo, Hiroyasu Koshimi...
CVPR
2012
IEEE
11 years 10 months ago
Robust non-rigid registration of 2D and 3D graphs
We present a new approach to matching graphs embedded in R2 or R3 . Unlike earlier methods, our approach does not rely on the similarity of local appearance features, does not req...
Eduard Serradell, Przemyslaw Glowacki, Jan Kybic, ...
CVPR
2008
IEEE
14 years 10 months ago
Generalised blurring mean-shift algorithms for nonparametric clustering
Gaussian blurring mean-shift (GBMS) is a nonparametric clustering algorithm, having a single bandwidth parameter that controls the number of clusters. The algorithm iteratively sh...
Miguel Á. Carreira-Perpiñán
ECCV
2010
Springer
14 years 1 months ago
Real-Time Spherical Mosaicing using Whole Image Alignment
When a purely rotating camera observes a general scene, overlapping views are related by a parallax-free warp which can be estimated by direct image alignment methods that iterate ...