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» From Images to Shape Models for Object Detection
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CVPR
2011
IEEE
14 years 10 months ago
Learning People Detection Models from Few Training Samples
People detection is an important task for a wide range of applications in computer vision. State-of-the-art methods learn appearance based models requiring tedious collection and ...
Leonid Pishchulin, Christian Wojek, Arjun Jain, Th...
ECCV
2004
Springer
16 years 8 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
3DIM
2001
IEEE
15 years 10 months ago
Estimation of Elastic Constants from 3D Range-Flow
This paper shows how range-flow can help to estimate the elastic constants of complete objects. In our framework, the object is deformed actively by a robotic device pushing into ...
Jochen Lang, Dinesh K. Pai
ICRA
2010
IEEE
170views Robotics» more  ICRA 2010»
15 years 5 months ago
Categorizing object-action relations from semantic scene graphs
— In this work we introduce a novel approach for detecting spatiotemporal object-action relations, leading to both, action recognition and object categorization. Semantic scene g...
Eren Erdal Aksoy, Alexey Abramov, Florentin Wö...
BMVC
2010
15 years 4 months ago
Implicit Shape Kernel for Discriminative Learning of the Hough Transform Detector
The Hough transform provides an efficient way to detect objects. Various methods have been proposed to achieve discriminative learning of the Hough transform, but they have usuall...
Yimeng Zhang, Tsuhan Chen