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ACISICIS
2007
IEEE
14 years 2 months ago
A Modified K-means Algorithm for Noise Reduction in Optical Motion Capture Data
This paper presents a modified K-means algorithm that can be used for removing noise in multicolor motion capture image sequences. These images have been produced using the Illumi...
Jan Carlo Barca, Grace W. Rumantir

Publication
204views
13 years 4 months ago
Maximum Likelihood Active Contours Specialized for Mammography Segmentation
We present a region-based active contour approach to segmenting masses in digital mammograms. The algorithm developed in a Maximum Likelihood approach is based on the calculation o...
Peyman Rahmati, A. Ayatollahi
ICIP
2008
IEEE
14 years 9 months ago
Geodesic active regions for segmentation and tracking of human gestures in sign language videos
Reliable segmentation and motion tracking algorithms are required to achieve gesture detection and tracking for human-machine interaction. In this paper we present an efficient me...
Olga Diamanti, Petros Maragos
CVPR
2000
IEEE
14 years 9 months ago
Codimension - Two Geodesic Active Contours for the Segmentation of Tubular Structures
Curve evolution schemes for segmentation, implemented with level set methods, have become an important approach in computer vision. Previous work has modeled evolving contours whi...
Liana M. Lorigo, W. Eric L. Grimson, Olivier D. Fa...
ICIP
2006
IEEE
14 years 9 months ago
Vector Field Convolution for Image Segmentation using Snakes
Snakes, or active contours, have been widely used in image processing applications. Typical roadblocks to consistent performance include limited capture range, noise sensitivity, ...
Bing Li, Scott T. Acton