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155
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CAIP
2009
Springer
248views Image Analysis» more  CAIP 2009»
15 years 7 months ago
Rapid Inference of Object Rigidity and Reflectance Using Optic Flow
Abstract. Rigidity and reflectance are key object properties, important in their own rights, and they are key properties that stratify motion reconstruction algorithms. However, th...
Di Zang, Katja Doerschner, Paul R. Schrater
145
Voted
ICVGIP
2008
15 years 5 months ago
Object Category Recognition with Projected Texture
Recognition of object categories from their images is extremely challenging due to the large intra-class variations, and variations in pose, illumination and scale, in addition to...
Avinash Sharma, Anoop M. Namboodiri
107
Voted
DAGSTUHL
1994
15 years 4 months ago
Function-Based Object Recognition
Functionality-based recognition systems recognize objects at the category level by reasoning about how well the objects support the expected function. Such systems naturally assoc...
Louise Stark, Kevin W. Bowyer
140
Voted
CVIU
2008
188views more  CVIU 2008»
15 years 3 months ago
Learning function-based object classification from 3D imagery
We propose a novel scheme for using supervised learning for function-based classification of objects in 3D images. During the learning process, a generic multi-level hierarchical ...
Michael Pechuk, Octavian Soldea, Ehud Rivlin
160
Voted
CVPR
2011
IEEE
14 years 11 months ago
A Segmentation-aware Object Detection Model with Occlusion Handling
The bounding box representation employed by many popular object detection models [3, 6] implicitly assumes all pixels inside the box belong to the object. This assumption makes th...
Tianshi Gao, Benjamin Packer, Daphne Koller