ECCV
2004
Springer
16 years 28 days ago
2004
Springer
106
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ECCV
2004
Springer
16 years 28 days ago
2004
Springer
In this work, we present a novel approach to face recognition which considers both shape and texture information to represent face images. The face area is first divided into small...
ECCV
2004
Springer
16 years 28 days ago
2004
Springer
This paper presents a novel generalization of the optical flow equation to the case of refraction, and it describes a method for recovering the refractive structure of an object fr...
ECCV
2004
Springer
16 years 28 days ago
2004
Springer
Abstract. Segmentation and blind restoration are both classical problems, that are known to be difficult and have attracted major research efforts. This paper shows that the two pr...
ECCV
2004
Springer
16 years 28 days ago
2004
Springer
In the present paper, we address the problem of recovering the true underlying model of a surface while performing the segmentation. A novel criterion for surface (model) selection...
ECCV
2004
Springer
16 years 28 days ago
2004
Springer
Abstract. A dynamic visual search framework based mainly on innerscene similarity is proposed. Algorithms as well as measures quantifying the difficulty of search tasks are suggest...
112
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ECCV
2004
Springer
16 years 28 days ago
2004
Springer
Abstract. We present a probabilistic algorithm for finding correspondences across multiple images. The algorithm runs in a distributed setting, where each camera is attached to a s...
ECCV
2008
Springer
16 years 28 days ago
2008
Springer
Abstract. We propose a fully automatic framework to detect and extract arbitrary human motion volumes from real-world videos collected from YouTube. Our system is composed of two s...
ECCV
2008
Springer
16 years 28 days ago
2008
Springer
Abstract. This paper describes a novel approach to recovering a parametric deformation that optimally registers one image to another. The method proceeds by constructing a global c...
ECCV
2008
Springer
16 years 28 days ago
2008
Springer
Abstract. Class hierarchies are commonly used to reduce the complexity of the classification problem. This is crucial when dealing with a large number of categories. In this work, ...