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» Object Recognition Using Segmentation for Feature Detection
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CLOR
2006
13 years 11 months ago
Comparison of Generative and Discriminative Techniques for Object Detection and Classification
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the dis...
Ilkay Ulusoy, Christopher M. Bishop
IJRR
2008
242views more  IJRR 2008»
13 years 7 months ago
Bilateral Symmetry Detection for Real-time Robotics Applications
Bilateral symmetry is a salient visual feature of many man-made objects. In this paper, we present research that use bilateral symmetry to identify, segment and track objects in re...
Wai Ho Li, Alan M. Zhang, Lindsay Kleeman
PUC
2010
122views more  PUC 2010»
13 years 6 months ago
What is happening now? Detection of activities of daily living from simple visual features
We propose and investigate a paradigm for activity recognition, distinguishing the ‘on-going activity’ recognition task (OGA) from that addressing ‘complete activities’ (C...
Bruno Lepri, Nadia Mana, Alessandro Cappelletti, F...
CVPR
2001
IEEE
14 years 9 months ago
Mixtures of Trees for Object Recognition
Efficient detection of objects in images is complicated by variations of object appearance due to intra-class object differences, articulation, lighting, occlusions, and aspect va...
Sergey Ioffe, David A. Forsyth