Sciweavers

CVPR
2006
IEEE
14 years 6 months ago
An Integrated Model of Top-Down and Bottom-Up Attention for Optimizing Detection Speed
Integration of goal-driven, top-down attention and image-driven, bottom-up attention is crucial for visual search. Yet, previous research has mostly focused on models that are pur...
Vidhya Navalpakkam, Laurent Itti
CVPR
2006
IEEE
14 years 6 months ago
Multiclass Object Recognition with Sparse, Localized Features
We apply a biologically inspired model of visual object recognition to the multiclass object categorization problem. Our model modifies that of Serre, Wolf, and Poggio. As in that...
Jim Mutch, David G. Lowe
CVPR
2006
IEEE
14 years 6 months ago
A Visual Vocabulary for Flower Classification
We investigate to what extent `bag of visual words' models can be used to distinguish categories which have significant visual similarity. To this end we develop and optimize...
Maria-Elena Nilsback, Andrew Zisserman
CVPR
2006
IEEE
14 years 6 months ago
Multi-Target Tracking - Linking Identities using Bayesian Network Inference
Multi-target tracking requires locating the targets and labeling their identities. The latter is a challenge when many targets, with indistinct appearances, frequently occlude one...
Peter Nillius, Josephine Sullivan, Stefan Carlsson
CVPR
2006
IEEE
14 years 6 months ago
Modeling Correspondences for Multi-Camera Tracking Using Nonlinear Manifold Learning and Target Dynamics
Multi-camera tracking systems often must maintain consistent identity labels of the targets across views to recover 3D trajectories and fully take advantage of the additional info...
Vlad I. Morariu, Octavia I. Camps
CVPR
2006
IEEE
14 years 6 months ago
An Intensity-augmented Ordinal Measure for Visual Correspondence
Determining the correspondence of image patches is one of the most important problems in Computer Vision. When the intensity space is variant due to several factors such as the ca...
Anurag Mittal, Visvanathan Ramesh
CVPR
2006
IEEE
14 years 6 months ago
Hierarchical Procrustes Matching for Shape Retrieval
We introduce Hierarchical Procrustes Matching (HPM), a segment-based shape matching algorithm which avoids problems associated with purely global or local methods and performs wel...
Graham McNeill, Sethu Vijayakumar
CVPR
2006
IEEE
14 years 6 months ago
Multiple Object Class Detection with a Generative Model
In this paper we propose an approach capable of simultaneous recognition and localization of multiple object classes using a generative model. A novel hierarchical representation ...
Krystian Mikolajczyk, Bastian Leibe, Bernt Schiele
CVPR
2006
IEEE
14 years 6 months ago
Vessel Crawlers: 3D Physically-based Deformable Organisms for Vasculature Segmentation and Analysis
We present a novel approach to the segmentation and analysis of vasculature from volumetric medical image data. Our method is an adoption and significant extension of deformable o...
Chris McIntosh, Ghassan Hamarneh