Foundations and Trends® in Computer Graphics and Vision
About this Journal
Institutional Prices Volume 9, 4 issues (2013)Electronic Only:
$420 in the Americas
€420 in all other countries
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Print ISSN: 1572-2740
Online ISSN: 1572-2759
Editors-in-Chief:
Brian CurlessUniversity of Washington
Personal Homepage
William T. Freeman
Massachusetts Institute of Technology
Personal Homepage
Luc Van Gool
KU Leuven and ETH Zurich
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Volume 7, issue 4
Modeling and Simulation of Skeletal Muscle for Computer Graphics: A Survey
Muscles provide physiological functions to drive body movement and anatomically characterize body shape, making them a crucial component of modeling animated human figures. Substantial effort has been devoted to developing computational models of muscles for the purpose of increasing realism and acc...
Volume 7, issue 2–3
Decision Forests: A Unified Framework for Classification, Regression, Density Estimation, Manifold Learning and Semi-Supervised Learning
This review presents a unified, efficient model of random decision forests which can be applied to a number of machine learning, computer vision, and medical image analysis tasks.Our model extends existing forest-based techniques as it unifies classification, regression, density estimation, manifold...
Volume 7, issue 1
Full-Reference Image Quality Metrics: Classification and Evaluation
The wide variety of distortions that images are subject to during acquisition, processing, storage, and reproduction can degrade their perceived quality. Since subjective evaluation is time-consuming, expensive, and resource-intensive, objective methods of evaluation have been proposed. One type of