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» Correspondence as energy-based segmentation
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BMVC
1998
14 years 11 months ago
ORASSYLL: Object Recognition with Autonomously Learned and Sparse Symbolic Representations Based on Local Line Detectors
We introduce an object recognition system in which objects are represented as a sparse and spatially organized set of local (bent) line segments. The line segments correspond to b...
Norbert Krüger, Niklas Lüdtke
DLOG
2007
15 years 1 days ago
Modularity in DL-Lite
We develop a formal framework for modular ontologies by analysing four notions of conservative extensions and their applications in refining, re-using, merging, and segmenting ont...
Roman Kontchakov, Frank Wolter, Michael Zakharyasc...
BMVC
2001
15 years 3 days ago
An Information Theoretic Approach to Statistical Shape Modelling
Statistical shape models have been used widely as a basis for segmenting and interpreting images. A major drawback of the approach is the need to establish a set of dense correspo...
Rhodri H. Davies, Timothy F. Cootes, Carole J. Twi...
ICIP
2003
IEEE
15 years 11 months ago
Gesture segmentation in complex motion sequences
Complex human motion sequences (such as dances) are typically analyzed by segmenting them into shorter motion sequences, called gestures. However, this segmentation process is sub...
Kanav Kahol, Priyamvada Tripathi, Sethuraman Panch...
3DIM
2007
IEEE
15 years 4 months ago
Range Image Segmentation for Modeling and Object Detection in Urban Scenes
We present fast and accurate segmentation algorithms of range images of urban scenes. The utilization of these algorithms is essential as a pre-processing step for a variety of ta...
Cecilia Chao Chen, Ioannis Stamos