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CVPR
2007
IEEE
15 years 1 months ago
Deformable Surface Tracking Ambiguities
We study from a theoretical standpoint the ambiguities that occur when tracking a generic deformable surface under monocular perspective projection given 3?D to 2?D correspondence...
Mathieu Salzmann, Vincent Lepetit, Pascal Fua
CVPR
2007
IEEE
15 years 1 months ago
Image-Based Localization Using Hybrid Feature Correspondences
Where am I and what am I seeing? This is a classical vision problem and this paper presents a solution based on efficient use of a combination of 2D and 3D features. Given a model...
Fredrik Kahl, Kalle Åström, Klas Joseph...
CVPR
2007
IEEE
15 years 1 months ago
Differential Camera Tracking through Linearizing the Local Appearance Manifold
The appearance of a scene is a function of the scene contents, the lighting, and the camera pose. A set of n-pixel images of a non-degenerate scene captured from different perspec...
Hua Yang, Marc Pollefeys, Greg Welch, Jan-Michael ...
CVPR
2007
IEEE
15 years 1 months ago
Segmental Hidden Markov Models for View-based Sport Video Analysis
We present a generative model approach to explore intrinsic semantic structures in sport videos, e.g., the camera view in American football games. We will invoke the concept of se...
Yi Ding, Guoliang Fan
CVPR
2007
IEEE
15 years 1 months ago
Multiple Class Segmentation Using A Unified Framework over Mean-Shift Patches
Object-based segmentation is a challenging topic. Most of the previous algorithms focused on segmenting a single or a small set of objects. In this paper, the multiple class objec...
Lin Yang, Peter Meer, David J. Foran
CVPR
2007
IEEE
15 years 1 months ago
A Probabilistic Intensity Similarity Measure based on Noise Distributions
We derive a probabilistic similarity measure between two observed image intensities that is based on the noise properties of the camera. In many vision algorithms, the effect of c...
Yasuyuki Matsushita, Stephen Lin
CVPR
2007
IEEE
15 years 1 months ago
Resolving Objects at Higher Resolution from a Single Motion-blurred Image
Motion blur can degrade the quality of images and is considered a nuisance for computer vision problems. In this paper, we show that motion blur can in-fact be used for increasing...
Amit K. Agrawal, Ramesh Raskar
CVPR
2007
IEEE
15 years 1 months ago
Learning Kernel Expansions for Image Classification
Kernel machines (e.g. SVM, KLDA) have shown state-ofthe-art performance in several visual classification tasks. The classification performance of kernel machines greatly depends o...
Fernando De la Torre, Oriol Vinyals
CVPR
2007
IEEE
15 years 1 months ago
A Surface-Growing Approach to Multi-View Stereo Reconstruction
We present a new approach to reconstruct the shape of a 3D object or scene from a set of calibrated images. The central idea of our method is to combine the topological flexibilit...
Martin Habbecke, Leif Kobbelt