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ICCV
2007
IEEE
16 years 8 months ago
Learning Globally-Consistent Local Distance Functions for Shape-Based Image Retrieval and Classification
We address the problem of visual category recognition by learning an image-to-image distance function that attempts to satisfy the following property: the distance between images ...
Andrea Frome, Yoram Singer, Fei Sha, Jitendra Mali...
196
Voted
ICCV
2005
IEEE
16 years 8 months ago
Modeling Scenes with Local Descriptors and Latent Aspects
We present a new approach to model visual scenes in image collections, based on local invariant features and probabilistic latent space models. Our formulation provides answers to...
Pedro Quelhas, Florent Monay, Jean-Marc Odobez, Da...
193
Voted
ECCV
2008
Springer
16 years 8 months ago
Scale-Dependent/Invariant Local 3D Shape Descriptors for Fully Automatic Registration of Multiple Sets of Range Images
Abstract. Despite the ubiquitous use of range images in various computer vision applications, little has been investigated about the size variation of the local geometric structure...
John Novatnack, Ko Nishino
ECCV
2004
Springer
16 years 8 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
218
Voted
ECCV
2006
Springer
16 years 8 months ago
Robust Attentive Behavior Detection by Non-linear Head Pose Embedding and Estimation
We present a new scheme to robustly detect a type of human attentive behavior, which we call frequent change in focus of attention (FCFA), from video sequences. FCFA behavior can b...
Nan Hu, Weimin Huang, Surendra Ranganath
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