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» Probabilistic Modeling and Recognition of 3-D Objects
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107
Voted
CVPR
2007
IEEE
16 years 2 months ago
Virtual Training for Multi-View Object Class Recognition
Our goal is to circumvent one of the roadblocks to using existing approaches for single-view recognition for achieving multi-view recognition, namely, the need for sufficient trai...
Han-Pang Chiu, Leslie Pack Kaelbling, Tomás...
ASSETS
2006
ACM
15 years 6 months ago
Interactive tracking of movable objects for the blind on the basis of environment models and perception-oriented object recognit
In previous work we have presented a prototype of an assistant system for the blind that can be used for self-localization and interactive object identification of static objects ...
Andreas Hub, Tim Hartter, Thomas Ertl
109
Voted
CVPR
2008
IEEE
16 years 2 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
108
Voted
CVPR
1997
IEEE
16 years 2 months ago
Representation Of Objects In A Volumetric Frequency Domain With Application To Face Recognition
A novel method for representing 3-D objects that unifies viewer and model centered object representations is presented. A unified 3-D frequency-domain representation (called Volum...
Jezekiel Ben-Arie, Dibyendu Nandy
CVPR
2012
IEEE
13 years 2 months ago
Semantic structure from motion with points, regions, and objects
Structure from motion (SFM) aims at jointly recovering the structure of a scene as a collection of 3D points and estimating the camera poses from a number of input images. In this...
Sid Ying-Ze Bao, Mohit Bagra, Yu-Wei Chao, Silvio ...