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CLOR
2006
13 years 11 months ago
Object Recognition by Combining Appearance and Geometry
We present a new class of statistical models for part-based object recognition. These models are explicitly parametrized according to the degree of spatial structure that they can ...
David J. Crandall, Pedro F. Felzenszwalb, Daniel P...
CVPR
2008
IEEE
14 years 9 months ago
From appearance to context-based recognition: Dense labeling in small images
Traditionally, object recognition is performed based solely on the appearance of the object. However, relevant information also exists in the scene surrounding the object. As supp...
Devi Parikh, C. Lawrence Zitnick, Tsuhan Chen
CAIP
1999
Springer
115views Image Analysis» more  CAIP 1999»
13 years 12 months ago
EigenHistograms: Using Low Dimensional Models of Color Distribution for Real Time Object Recognition
Abstract. Distribution of object colors has been used in computer vision for recognition and indexing. Most of the recent approaches to this problem have been focused on de ning op...
Jordi Vitrià, Petia Radeva, Xavier Binefa
GLVLSI
2005
IEEE
205views VLSI» more  GLVLSI 2005»
14 years 1 months ago
Optimization objectives and models of variation for statistical gate sizing
This paper approaches statistical optimization by examining gate delay variation models and optimization objectives. Most previous work on statistical optimization has focused exc...
Matthew R. Guthaus, Natesan Venkateswaran, Vladimi...
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