ICCV
2011
IEEE
12 years 8 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 8 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 8 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 8 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 8 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 8 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 8 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 8 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 8 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 8 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...