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» Image Distance Using Hidden Markov Models
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CVPR
2003
IEEE
14 years 12 months ago
Shape Context and Chamfer Matching in Cluttered Scenes
This paper compares two methods for object localization from contours: shape context and chamfer matching of templates. In the light of our experiments, we suggest improvements to...
Arasanathan Thayananthan, Bjoern Stenger, Philip H...
BMCBI
2010
229views more  BMCBI 2010»
13 years 10 months ago
Mocapy++ - A toolkit for inference and learning in dynamic Bayesian networks
Background: Mocapy++ is a toolkit for parameter learning and inference in dynamic Bayesian networks (DBNs). It supports a wide range of DBN architectures and probability distribut...
Martin Paluszewski, Thomas Hamelryck
BMCBI
2007
115views more  BMCBI 2007»
13 years 10 months ago
A novel, fast, HMM-with-Duration implementation - for application with a new, pattern recognition informed, nanopore detector
Background: Hidden Markov Models (HMMs) provide an excellent means for structure identification and feature extraction on stochastic sequential data. An HMM-with-Duration (HMMwD) ...
Stephen Winters-Hilt, Carl Baribault
ICIP
2002
IEEE
14 years 11 months ago
Perceived quality metrics for low bit rate compressed video
This paper presents an objective metric for the perceived quality of low bit rate compressed video. Frames are decomposed into several frequency bands at multiple scales and a mot...
Mark Masry, Sheila S. Hemami
ICAT
2007
IEEE
13 years 11 months ago
Edge-Based Markerless 3D Tracking of Rigid Objects
In this paper we present a real-time 3D object tracking algorithm based on edges and using a single pre-calibrated camera. During the tracking process, the algorithm is continuous...
Javier Barandiarán, Diego Borro