ICCV
2011
IEEE
12 years 11 months ago
2011
IEEE
Visual tracking plays an important role in many computer vision tasks. A common assumption in previous methods is that the video frames are blur free. In reality, motion blurs are...
ICCV
2011
IEEE
12 years 11 months ago
2011
IEEE
The motion field of a scene can be used for object segmentation and to provide features for classification tasks like action recognition. Scene flow is the full 3D motion fiel...
ICCV
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper, we show that tracking multiple people whose paths may intersect can be formulated as a convex global optimization problem. Our proposed framework is designed to exp...
ICCV
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper proposes a very general max-margin learning framework for distance-based clustering. To this end, it formulates clustering as a high order energy minimization problem w...
ICCV
2011
IEEE
12 years 11 months ago
2011
IEEE
It has been shown repeatedly that iterative relevance feedback is a very efficient solution for content-based image retrieval. However, no existing system scales gracefully to hu...
ICCV
2011
IEEE
12 years 11 months ago
2011
IEEE
Automatically assessing photo quality from the perspective of visual aesthetics is of great interest in high-level vision research and has drawn much attention in recent years. In...
ICCV
2011
IEEE
12 years 11 months ago
2011
IEEE
Non-rigid structure from motion (NRSFM) is a difficult, underconstrained problem in computer vision. The standard approach in NRSFM constrains 3D shape deformation using a linear...
ICCV
2011
IEEE
12 years 11 months ago
2011
IEEE
In this paper we propose a new approach to compute the scale space of any omnidirectional image acquired with a central catadioptric system. When these cameras are central they ar...
ICCV
2011
IEEE
12 years 11 months ago
2011
IEEE
We present a method for reconstructing a trajectory of an object moving in front of non-overlapping fully or partially calibrated cameras. The non-overlapping setup turns that pro...
ICCV
2011
IEEE
12 years 11 months ago
2011
IEEE
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...