Result: Voting method for stable range optical flow computation
Title:
Voting method for stable range optical flow computation
Authors:
Source:
Advances in image and video technology (First pacific rim symposium, PSIVT 2006, Hsinchu, Taiwan, December 10-13, 2006)0PSIVT 2006. :332-341
Publisher Information:
Berlin; Heidelberg: Springer, 2006.
Publication Year:
2006
Physical Description:
print, 7 ref 1
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Optics, Optique, Telecommunications, Télécommunications, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Intelligence artificielle, Artificial intelligence, Reconnaissance des formes. Traitement numérique des images. Géométrie algorithmique, Pattern recognition. Digital image processing. Computational geometry, Ajustement modèle, Model matching, Ajustamiento modelo, Analyse statistique, Statistical analysis, Análisis estadístico, Approche probabiliste, Probabilistic approach, Enfoque probabilista, Flux optique, Optical flow, Flujo óptico, Formation image, Imaging, Formación imagen, Modèle optique, Optical models, Modèle écoulement, Flow models, Méthode moindre carré, Least squares method, Método cuadrado menor, Méthode non invasive, Non invasive method, Método no invasivo, Traitement image, Image processing, Procesamiento imagen, Vision ordinateur, Computer vision, Visión ordenador, Vote, Voting, Voto
Document Type:
Conference
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Insutitute of Media and Information Technology, Chiba University, Japan
School of Science and Technology, Chiba University, Japan
School of Science and Technology, Chiba University, Japan
ISSN:
0302-9743
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.19008241
Database:
PASCAL Archive
Further Information
For the non-invasive imaging of moving organs, in this paper, we develop statistically accurate methods for the computation of optical flow. We formalise the linear flow field detection as a model-fitting problem which is solved by the least squares method. Then, we show random-ssampling-and-voting method for the computation of optical flow as model-fitting problem. We show some numerical examples which shows the performance of our method.