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ECCV
2002
Springer
14 years 9 months ago
Probabilistic Search for Object Segmentation and Recognition
Abstract. The problem of searching for a model-based scene interpretation is analyzed within a probabilistic framework. Object models are formulated as generative models for range ...
Ulrich Hillenbrand, Gerd Hirzinger
PAMI
2006
196views more  PAMI 2006»
13 years 7 months ago
Three-Dimensional Model-Based Object Recognition and Segmentation in Cluttered Scenes
Viewpoint independent recognition of free-form objects and their segmentation in the presence of clutter and occlusions is a challenging task. We present a novel 3D model-based alg...
Ajmal S. Mian, Mohammed Bennamoun, Robyn A. Owens
ICMCS
2005
IEEE
136views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Human Posture Recognition with Convex Programming
We present a novel human posture recognition method using convex programming based matching schemes. Instead of trying to segment the object from the background, we develop a nove...
Hao Jiang, Ze-Nian Li, Mark S. Drew
CVPR
2011
IEEE
1473views Computer Vision» more  CVPR 2011»
13 years 3 months ago
Object Recognition with Hierarchical Kernel Descriptors
Kernel descriptors provide a unified way to generate rich visual feature sets by turning pixel attributes into patch-level features, and yield impressive results on many object rec...
Liefeng Bo, Kevin Lai, Xiaofeng Ren and Dieter Fox
PAMI
2008
170views more  PAMI 2008»
13 years 7 months ago
Unsupervised Category Modeling, Recognition, and Segmentation in Images
Suppose a set of arbitrary (unlabeled) images contains frequent occurrences of 2D objects from an unknown category. This paper is aimed at simultaneously solving the following rel...
Sinisa Todorovic, Narendra Ahuja