Sciweavers

324 search results - page 4 / 65
» Attention can improve a simple model for object recognition
Sort
View
CVPR
2010
IEEE
15 years 5 months ago
Comparative object similarity for improved recognition with few or no examples
Learning models for recognizing objects with few or no training examples is important, due to the intrinsic longtailed distribution of objects in the real world. In this paper, we...
Gang Wang, David Forsyth, Derek Hoiem
IVC
1998
51views more  IVC 1998»
14 years 9 months ago
Improving the generalized Hough transform through imperfect grouping
This paper analyses the improvements that can be gained in the generalized Hough transform method for recognizing objects through the use of imperfect perceptual grouping techniqu...
Clark F. Olson
VRST
2009
ACM
15 years 4 months ago
Gaze behavior and visual attention model when turning in virtual environments
In this paper we analyze and try to predict the gaze behavior of users navigating in virtual environments. We focus on first-person navigation in virtual environments which invol...
Sébastien Hillaire, Anatole Lécuyer,...
TEC
2002
81views more  TEC 2002»
14 years 9 months ago
Genetic object recognition using combinations of views
We investigate the application of genetic algorithms (GAs) for recognizing real two-dimensional (2-D) or three-dimensional (3-D) objects from 2-D intensity images, assuming that th...
George Bebis, Evangelos A. Yfantis, Sushil J. Loui...
CVPR
2008
IEEE
15 years 11 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 ...