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» A new method for camera motion parameter estimation
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ECCV
1994
Springer
16 years 5 months ago
Recursive Affine Structure and Motion from Image Sequences
Abstract. This paper presents a new algorithm for structure from motion from an arbitrary number of tracked features over an arbitrary number of images, which possesses several adv...
Philip F. McLauchlan, Ian D. Reid, David W. Murray
122
Voted
MM
1995
ACM
139views Multimedia» more  MM 1995»
15 years 7 months ago
A Feature-Based Algorithm for Detecting and Classifying Scene Breaks
We describe a new approach to the detection and classication of scene breaks in video sequences. Our method can detect and classify a variety of scene breaks, including cuts, fade...
Ramin Zabih, Justin Miller, Kevin Mai
PREMI
2005
Springer
15 years 9 months ago
Fusing Depth and Video Using Rao-Blackwellized Particle Filter
We address the problem of fusing sparse and noisy depth data obtained from a range finder with features obtained from intensity images to estimate ego-motion and refine 3D struct...
Amit K. Agrawal, Rama Chellappa
154
Voted
FGR
2004
IEEE
218views Biometrics» more  FGR 2004»
15 years 7 months ago
Affine Correspondence Based Head Pose Estimation for a Sequence of Images by Using a 3D Model
This paper proposes a method of determining human head poses from a sequence of images. The main idea is to use some features in a 3D head model to generate a virtual fronto-paral...
Guoyuan Liang, Hongbin Zha, Hong Liu
113
Voted
ICIAP
2003
ACM
16 years 3 months ago
Camera calibration and 3D reconstruction using interval analysis
This paper deals with the problem of error estimation in 3D reconstruction. It shows how interval analysis can be used in this way for 3D vision applications. The description of a...
Benoît Telle, Marie-José Aldon, Nacim...