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» Application of Level Set Methods in Computer Vision
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BMVC
2000
13 years 9 months ago
Object Recognition using the Invariant Pixel-Set Signature
A new object recognition method, the Invariant Pixel Set Signature (IPSS), is introduced. Objects are represented with a probability density on the space of invariants computed fr...
Jiri Matas, J. Burianek, Josef Kittler
MVA
2007
140views Computer Vision» more  MVA 2007»
13 years 9 months ago
A Review of Tracking Methods under Occlusions
Object tracking in computer vision refers to the task of tracking individual moving objects accurately from one frame to another in an image sequence. Several tracking methods hav...
Zui Zhang, Massimo Piccardi
IEEEPACT
1998
IEEE
13 years 12 months ago
Exploiting Method-Level Parallelism in Single-Threaded Java Programs
Method speculation of object-oriented programs attempts to exploit method-level parallelism (MLP) by executing sequential method invocations in parallel, while still maintaining c...
Michael K. Chen, Kunle Olukotun
CVPR
2007
IEEE
14 years 9 months ago
Unsupervised Learning of Invariant Feature Hierarchies with Applications to Object Recognition
We present an unsupervised method for learning a hierarchy of sparse feature detectors that are invariant to small shifts and distortions. The resulting feature extractor consists...
Marc'Aurelio Ranzato, Fu Jie Huang, Y-Lan Boureau,...
EMMCVPR
2005
Springer
14 years 1 months ago
Edge Strength Functions as Shape Priors in Image Segmentation
Many applications of computer vision requires segmenting out of an object of interest from a given image. Motivated by unlevel-sets formulation of Raviv, Kiryati and Sochen [8] and...
Erkut Erdem, Aykut Erdem, Sibel Tari