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» Learning 3-D object orientation from images
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CVPR
2012
IEEE
13 years 1 months ago
Learning object class detectors from weakly annotated video
Object detectors are typically trained on a large set of still images annotated by bounding-boxes. This paper introduces an approach for learning object detectors from realworld w...
Alessandro Prest, Christian Leistner, Javier Civer...
3DIM
2007
IEEE
15 years 5 months ago
Silhouette Extraction with Random Pattern Backgrounds for the Volume Intersection Method
In this paper, we present a novel approach for extracting silhouettes by using a particular pattern that we call the random pattern. The volume intersection method reconstructs th...
Masahiro Toyoura, Masaaki Iiyama, Koh Kakusho, Mic...
ICIG
2009
IEEE
14 years 8 months ago
Illumination Invariant Object Tracking with Incremental Subspace Learning
In this paper, we present an efficient and robust subspace learning based object tracking algorithm with special illumination handling. Illumination variances pose a great challen...
Gang Yu, Hongtao Lu
WACV
2005
IEEE
15 years 4 months ago
Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video
A number of recent systems for unsupervised featurebased learning of object models take advantage of cooccurrence: broadly, they search for clusters of discriminative features tha...
Thomas S. Stepleton, Tai Sing Lee
ECCV
1998
Springer
16 years 15 days ago
Object Oriented Motion Estimation in Color Image Sequences
Abstract. This paper describes a color region-based approach to motion estimation in color image sequences. The system is intended for robotic and vehicle guidance applications whe...
Volker Rehrmann