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ICCV
2005
IEEE
16 years 9 days ago
Contour-Based Learning for Object Detection
We present a novel categorical object detection scheme that uses only local contour-based features. A two-stage, partially supervised learning architecture is proposed: a rudiment...
Jamie Shotton, Andrew Blake, Roberto Cipolla
ECCV
2006
Springer
15 years 10 months ago
Motion Segmentation Using an Occlusion Detector
We present a novel method for the detection of motion boundaries in a video sequence based on differential properties of the spatio-temporal domain. Regarding the video sequence as...
Doron Feldman, Daphna Weinshall
BMVC
2010
15 years 4 months ago
Graph-based Analysis of Textured Images for Hierarchical Segmentation
The Texture Fragmentation and Reconstruction (TFR) algorithm has been recently introduced [9] to address the problem of image segmentation by textural properties, based on a suita...
Raffaele Gaetano, Giuseppe Scarpa, Tamás Sz...
CVPR
2011
IEEE
15 years 2 months ago
From Partial Shape Matching through Local Deformation to Robust Global Shape Similarity for Object Detection
In this paper, we propose a novel framework for contour based object detection. Compared to previous work, our contribution is three-fold. 1) A novel shape matching scheme suitabl...
Tianyang Ma, LonginJan Latecki
CVPR
2011
IEEE
15 years 2 months ago
Novel 4-D Open-Curve Active Contour and Curve Completion Approach for Automated Tree Structure Extraction
We present novel approaches for fully automated extraction of tree-like tubular structures from 3-D image stacks. A 4-D Open-Curve Active Contour (Snake) model is proposed for sim...
Yu Wang, Arunachalam Narayanaswamy, Badri Roysam