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» Complex Salient Regions for Computer Vision Problems
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CVPR
2005
IEEE
15 years 12 months ago
A Bayesian Hierarchical Model for Learning Natural Scene Categories
We propose a novel approach to learn and recognize natural scene categories. Unlike previous work [9, 17], it does not require experts to annotate the training set. We represent t...
Fei-Fei Li 0002, Pietro Perona, California Institu...
MIRAGE
2007
Springer
15 years 4 months ago
Segmentation of Soft Shadows Based on a Daylight- and Penumbra Model
Abstract. This paper introduces a new concept within shadow segmentation for usage in shadow removal and augmentation through construction of an alpha overlay shadow model. Previou...
Michael Nielsen, Claus B. Madsen
CVPR
2004
IEEE
15 years 12 months ago
Multi-Scale Visual Tracking by Sequential Belief Propagation
A novel statistical method is proposed in this paper to overcome abrupt motion for robust visual tracking. Existing tracking methods that are based on the small motion assumption ...
Gang Hua, Ying Wu
ECCV
2010
Springer
14 years 10 months ago
Superpixels and Supervoxels in an Energy Optimization Framework
Many methods for object recognition, segmentation, etc., rely on tessellation of an image into "superpixels". A superpixel is an image patch which is better aligned with ...
Olga Veksler, Yuri Boykov, Paria Mehrani
ICPR
2008
IEEE
15 years 4 months ago
Robust outdoor text detection using text intensity and shape features
Recognizing texts from camera images is a known hard problem because of the difficulties in text segmentation from the varied and complicated backgrounds. In this paper, we propo...
Zongyi Liu, Sudeep Sarkar