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CVPR
2006
IEEE
15 years 4 days ago
Making a Long Video Short: Dynamic Video Synopsis
The power of video over still images is the ability to represent dynamic activities. But video browsing and retrieval are inconvenient due to inherent spatio-temporal redundancies...
Alex Rav-Acha, Yael Pritch, Shmuel Peleg
CVPR
2006
IEEE
15 years 4 days ago
Control Theory and Fast Marching Techniques for Brain Connectivity Mapping
We propose a novel, fast and robust technique for the computation of anatomical connectivity in the brain. Our approach exploits the information provided by Diffusion Tensor Magne...
Emmanuel Prados, Stefano Soatto, Christophe Lengle...
CVPR
2006
IEEE
15 years 4 days ago
Covariance Tracking using Model Update Based on Lie Algebra
Fatih Porikli, Oncel Tuzel, Peter Meer
CVPR
2006
IEEE
15 years 4 days ago
Real-Time Visual SLAM with Resilience to Erratic Motion
Simultaneous localisation and mapping using a single camera becomes difficult when erratic motions violate predictive motion models. This problem needs to be addressed when visual...
Mark Pupilli, Andrew Calway
CVPR
2006
IEEE
15 years 4 days ago
Training Deformable Models for Localization
We present a new method for training deformable models. Assume that we have training images where part locations have been labeled. Typically, one fits a model by maximizing the l...
Deva Ramanan, Cristian Sminchisescu
CVPR
2006
IEEE
15 years 4 days ago
Modeling Age Progression in Young Faces
We propose a craniofacial growth model that characterizes growth related shape variations observed in human faces during formative years. The model draws inspiration from the `rev...
Narayanan Ramanathan, Rama Chellappa
CVPR
2006
IEEE
15 years 4 days ago
Recursive estimation of generative models of video
In this paper we present a generative model and learning procedure for unsupervised video clustering into scenes. The work addresses two important problems: realistic modeling of ...
Nemanja Petrovic, Aleksandar Ivanovic, Nebojsa Joj...
CVPR
2006
IEEE
15 years 4 days ago
Model Order Selection and Cue Combination for Image Segmentation
Model order selection and cue combination are both difficult open problems in the area of clustering. In this work we build upon stability-based approaches to develop a new method...
Andrew Rabinovich, Serge Belongie, Tilman Lange, J...
CVPR
2006
IEEE
15 years 4 days ago
Tunable Kernels for Tracking
We present a tunable representation for tracking that simultaneously encodes appearance and geometry in a manner that enables the use of mean-shift iterations for tracking. The cl...
Vasu Parameswaran, Visvanathan Ramesh, Imad Zoghla...