ECCV
2010
Springer
14 years 2 months ago
2010
Springer
The level set representation of shapes is useful for shape evolution and is widely used for the minimization of energies with respect to shapes. Many algorithms consider energies d...
ECCV
2010
Springer
14 years 2 months ago
2010
Springer
If you have ever watched movies or television shows, you know how easy it is to tell the good characters from the bad ones. Little, however, is known “whether” or “how” com...
ECCV
2010
Springer
14 years 2 months ago
2010
Springer
Abstract. We address the problem of having insufficient labels in an interactive image segmentation framework, for which most current methods would fail without further user inter...
ECCV
2010
Springer
14 years 2 months ago
2010
Springer
Abstract. This paper presents a novel and efficient method for locating deformable shapes in cluttered scenes. The shapes to be detected may undergo arbitrary translational and rot...
ECCV
2010
Springer
14 years 2 months ago
2010
Springer
ECCV
2010
Springer
2010
Springer
Backprojection Revisited: Scalable Multi-view Object Detection and Similarity Metrics for Detections
14 years 2 months ago
Hough transform based object detectors learn a mapping from the image domain to a Hough voting space. Within this space, object hypotheses are formed by local maxima. The votes con...
ECCV
2010
Springer
14 years 2 months ago
2010
Springer
Abstract. Visual vocabulary construction is an integral part of the popular Bag-of-Features (BOF) model. When visual data scale up (in terms of the dimensionality of features or/an...
ECCV
2010
Springer
14 years 2 months ago
2010
Springer
We address the problem of understanding an indoor scene from a single image in terms of recovering the layouts of the faces (floor, ceiling, walls) and furniture. A major challeng...
ECCV
2010
Springer
14 years 2 months ago
2010
Springer
Occlusions provide critical cues about the 3D structure of man-made and natural scenes. We present a mathematical framework and algorithm to detect and localize occlusions in image...
ECCV
2010
Springer
14 years 2 months ago
2010
Springer
Abstract. Markov and Conditional random fields (CRFs) used in computer vision typically model only local interactions between variables, as this is computationally tractable. In t...