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ECCV
2004
Springer
14 years 9 months ago
Recognition by Probabilistic Hypothesis Construction
We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
Pierre Moreels, Michael Maire, Pietro Perona
CVPR
2006
IEEE
14 years 1 months ago
Depth from Familiar Objects: A Hierarchical Model for 3D Scenes
We develop an integrated, probabilistic model for the appearance and three-dimensional geometry of cluttered scenes. Object categories are modeled via distributions over the 3D lo...
Erik B. Sudderth, Antonio B. Torralba, William T. ...
PAMI
2007
193views more  PAMI 2007»
13 years 6 months ago
Robust Object Recognition with Cortex-Like Mechanisms
—We introduce a new general framework for the recognition of complex visual scenes, which is motivated by biology: We describe a hierarchical system that closely follows the orga...
Thomas Serre, Lior Wolf, Stanley M. Bileschi, Maxi...
ICIP
2006
IEEE
14 years 9 months ago
Image Compression using Object-Based Regions of Interest
A new architecture for region of interest (ROI) image coding is proposed. ROIs are defined as image regions containing objects of interest, and an efficient algorithm proposed for...
Sunhyoung Han, Nuno Vasconcelos
ICMCS
2006
IEEE
135views Multimedia» more  ICMCS 2006»
14 years 1 months ago
Where am I? Scene Recognition for Mobile Robots using Audio Features
Automatic recognition of unstructured environments is an important problem for mobile robots. We focus on using audio features to recognize different auditory environments, where ...
Selina Chu, Shrikanth S. Narayanan, C. C. Jay Kuo,...