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ICPR
2004
IEEE
14 years 10 months ago
An Energy Minimisation Approach to Stereo-Temporal Dense Reconstruction
We propose a novel energy minimisation framework for the dense reconstruction of stereo image sequences that incorporates data fidelity as well as spatial and temporal regularity....
Ben Appleton, Brian C. Lovell, Carlos Leung, Chang...
ICML
2004
IEEE
14 years 9 months ago
Support vector machine learning for interdependent and structured output spaces
Learning general functional dependencies is one of the main goals in machine learning. Recent progress in kernel-based methods has focused on designing flexible and powerful input...
Ioannis Tsochantaridis, Thomas Hofmann, Thorsten J...
ISCSCT
2008
IEEE
14 years 3 months ago
Large Scale Scenes Reconstruction from Multiple Views
—In this paper, we present a novel method to reconstruct the large scale scenes from multiple calibrated images. It first generates a quasi-dense 3D point cloud of the scene by m...
Limin Shi, Feng Zhang, Zhenhui Xu, Zhanyi Hu
ICDAR
2007
IEEE
14 years 3 months ago
Performance Analysis Framework for Layout Analysis Methods
This paper presents a new framework for in-depth analysis of the performance of layout analysis methods. Contrary to existing approaches aimed at evaluation or benchmarking, the p...
Apostolos Antonacopoulos, David Bridson
CSCLP
2007
Springer
14 years 3 months ago
A Global Filtration for Satisfying Goals in Mutual Exclusion Networks
We formulate a problem of goal satisfaction in mutex networks in this paper. The proposed problem is motivated by problems that arise in concurrent planning. For more efficient sol...
Pavel Surynek