Sciweavers

CVPR
2005
IEEE
14 years 11 months ago
Online Detection and Classification of Moving Objects Using Progressively Improving Detectors
Boosting based detection methods have successfully been used for robust detection of faces and pedestrians. However, a very large amount of labeled examples are required for train...
Omar Javed, Saad Ali, Mubarak Shah
CVPR
2005
IEEE
14 years 11 months ago
A Semi-Supervised Active Learning Framework for Image Retrieval
Although recent studies have shown that unlabeled data are beneficial to boosting the image retrieval performance, very few approaches for image retrieval can learn with labeled a...
Steven C. H. Hoi, Michael R. Lyu
CVPR
2005
IEEE
14 years 11 months ago
ALIP: The Automatic Linguistic Indexing of Pictures System
In this demonstration, we present the Automatic Linguistic Indexing of Pictures (ALIP) system. The system annotates images with linguistic terms, chosen among hundreds of such ter...
Jia Li, James Ze Wang
CVPR
2005
IEEE
14 years 11 months ago
Accurate and Efficient Stereo Processing by Semi-Global Matching and Mutual Information
This paper considers the objectives of accurate stereo matching, especially at object boundaries, robustness against recording or illumination changes and efficiency of the calcul...
Heiko Hirschmüller
CVPR
2005
IEEE
14 years 11 months ago
Implicit Surfaces Make for Better Silhouettes
This paper advocates an implicit-surface representation of generic 3?D surfaces to take advantage of occluding edges in a very robust way. This lets us exploit silhouette constrai...
Slobodan Ilic, Mathieu Salzmann, Pascal Fua
CVPR
2005
IEEE
14 years 11 months ago
Efficient Image Matching with Distributions of Local Invariant Features
Sets of local features that are invariant to common image transformations are an effective representation to use when comparing images; current methods typically judge feature set...
Kristen Grauman, Trevor Darrell
CVPR
2005
IEEE
14 years 11 months ago
Multilabel Random Walker Image Segmentation Using Prior Models
The recently introduced random walker segmentation algorithm of [14] has been shown to have desirable theoretical properties and to perform well on a wide variety of images in pra...
Leo Grady
CVPR
2005
IEEE
14 years 11 months ago
Analytically Solving Radial Distortion Parameters
Most camera calibration algorithms consider parameters that define the lens distortion mapping. The usual way to determine these parameters is to minimize a nonlinear optimization...
Simone Graf, Tobias Hanning
CVPR
2005
IEEE
14 years 11 months ago
A Tensor Decomposition for Geometric Grouping and Segmentation
While spectral clustering has been applied successfully to problems in computer vision, their applicability is limited to pairwise similarity measures that form a probability matr...
Venu Madhav Govindu