Sciweavers

Share
CVPR
2012
IEEE
7 years 11 months ago
Real-time image-based 6-DOF localization in large-scale environments
We present a real-time approach for image-based localization within large scenes that have been reconstructed offline using structure from motion (Sfm). From monocular video, our...
Hyon Lim, Sudipta N. Sinha, Michael F. Cohen, Matt...
BCS
2008
9 years 10 months ago
Improved SIFT-Features Matching for Object Recognition
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
Faraj Alhwarin, Chao Wang, Danijela Ristic-Durrant...
CIVR
2005
Springer
169views Image Analysis» more  CIVR 2005»
10 years 2 months ago
An Invariant Representation for Matching Trajectories Across Uncalibrated Video Streams
Abstract. We introduce a view–point invariant representation of moving object trajectories that can be used in video database applications. It is assumed that trajectories lie on...
Walter Nunziati, Stan Sclaroff, Alberto Del Bimbo
ICMCS
2006
IEEE
143views Multimedia» more  ICMCS 2006»
10 years 3 months ago
Face Recognition using 3D Summation Invariant Features
In this paper, we developed a family of 2D and 3D invariant features with applications to 3D human faces recognition. The main contributions of this paper are: (a) systematically ...
Wei-Yang Lin, Kin-Chung Wong, Yu Hu, Nigel Boston
GI
2007
Springer
10 years 3 months ago
Translation and Rotation Invariant Histogram Features for Series of Images
Abstract: Some surfaces, like metallic and varnished ones, can only be properly controlled, if they are inspected under different illumination directions. This requires a three-dim...
Ana Pérez Grassi, Fernando Puente Leó...
ICDAR
2007
IEEE
10 years 3 months ago
A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images
We describe an unsupervised learning algorithm for extracting sparse and locally shift-invariant features. We also devise a principled procedure for learning hierarchies of invari...
Marc'Aurelio Ranzato, Yann LeCun
ICPR
2006
IEEE
10 years 10 months ago
Invariant Features for 3D-Data based on Group Integration using Directional Information and Spherical Harmonic Expansion
Due to the increasing amount of 3D data for various applications there is a growing need for classification and search in such databases. As the representation of 3D objects is no...
Marco Reisert, Hans Burkhardt
ICIP
2004
IEEE
10 years 11 months ago
Image retrieval based on projective invariance
In this paper we propose an image retrieval scheme based on projectively invariant features. Since cross-ratio is the fundamental invariant feature under projective transformation...
S. Rajashekhar, Subhasis Chaudhuri, Vinay P. Nambo...
ICCV
1998
IEEE
10 years 11 months ago
Wide Baseline Stereo Matching
`Invariant regions' are image patches that automatically deform with changing viewpoint as to keep on covering identical physical parts of a scene. Such regions are then desc...
Philip Pritchett, Andrew Zisserman
CVPR
2004
IEEE
10 years 11 months ago
Invariant Operators, Small Samples, and the Bias-Variance Dilemma
Invariant features or operators are often used to shield the recognition process from the effect of "nuisance" parameters, such as rotations, foreshortening, or illumina...
Xiaojin Shi, Roberto Manduchi
books