Sciweavers

ICCV
2005
IEEE
14 years 6 months ago
Edge-Based Rich Representation for Vehicle Classification
In this paper we propose an approach to vehicle classification under a mid-field surveillance framework. We develop a repeatable and discriminative feature based on edge points an...
Xiaoxu Ma, W. Eric L. Grimson
ICCV
2005
IEEE
14 years 6 months ago
A Hierarchical Field Framework for Unified Context-Based Classification
We present a two-layer hierarchical formulation to exploit different levels of contextual information in images for robust classification. Each layer is modeled as a conditional f...
Sanjiv Kumar, Martial Hebert
ICCV
2005
IEEE
14 years 6 months ago
Appearance Modeling Under Geometric Context
We propose a unified framework based on a general definition of geometric transform (GeT) for modeling appearance. GeT represents the appearance by applying designed functionals o...
Jian Li, Shaohua Kevin Zhou, Rama Chellappa
ICCV
2005
IEEE
14 years 6 months ago
Shapelets Correlated with Surface Normals Produce Surfaces
This paper addresses the problem of deducing the surface shape of an object given just the surface normals. Many shape measurement algorithms such as shape from shading and shape ...
Peter Kovesi
ICCV
2005
IEEE
14 years 6 months ago
Is Levenberg-Marquardt the Most Efficient Optimization Algorithm for Implementing Bundle Adjustment?
In order to obtain optimal 3D structure and viewing parameter estimates, bundle adjustment is often used as the last step of feature-based structure and motion estimation algorith...
Manolis I. A. Lourakis, Antonis A. Argyros
ICCV
2005
IEEE
14 years 6 months ago
A Multilevel Banded Graph Cuts Method for Fast Image Segmentation
Herve Lombaert, Yiyong Sun, Leo Grady, Chenyang Xu
ICCV
2005
IEEE
14 years 6 months ago
Multi-View AAM Fitting and Camera Calibration
Seth Koterba, Simon Baker, Iain Matthews, Changbo ...
ICCV
2005
IEEE
14 years 6 months ago
A New Framework for Approximate Labeling via Graph Cuts
A new framework is presented that uses tools from duality theory of linear programming to derive graph-cut based combinatorial algorithms for approximating NP-hard classification ...
Nikos Komodakis, Georgios Tziritas
ICCV
2005
IEEE
14 years 6 months ago
An Expectation Maximization Approach to the Synergy between Image Segmentation and Object Categorization
In this work we deal with the problem of modelling and exploiting the interaction between the processes of image segmentation and object categorization. We propose a novel framewo...
Iasonas Kokkinos, Petros Maragos