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ICMCS
1999
IEEE
117views Multimedia» more  ICMCS 1999»
15 years 2 months ago
VHS to VRML: 3D Graphical Models from Video Sequences
Abstract-- We describe a method to completely automatically recover 3D scene structure together with a camera for each frame from a sequence of images acquired by an unknown camera...
Andrew Zisserman, Andrew W. Fitzgibbon, Geoffrey C...
ISVC
2005
Springer
15 years 3 months ago
Mining Paths of Complex Crowd Scenes
The Ambient Intelligence (AmI) paradigm requires a robust interpretation of people actions and behaviour and a way for automatically generating persistent spatial-temporal models o...
Beibei Zhan, Paolo Remagnino, Sergio A. Velastin
ICCV
2001
IEEE
15 years 11 months ago
Combining Single View Recognition and Multiple View Stereo for Architectural Scenes
This paper describes a structure from motion and recognition paradigm for generating 3D models from 2D sets of images. In particular we consider the domain of architectural photog...
Anthony R. Dick, Philip H. S. Torr, Simon J. Ruffl...
PCM
2004
Springer
102views Multimedia» more  PCM 2004»
15 years 3 months ago
Background Modeling Using Phase Space for Day and Night Video Surveillance Systems
This paper presents a novel background modeling approach for day and night video surveillance. A great number of background models have been proposed to represent the background sc...
Yu-Ming Liang, Arthur Chun-Chieh Shih, Hsiao-Rong ...
IVC
2007
95views more  IVC 2007»
14 years 9 months ago
Models from image triplets using epipolar gradient features
In an application where sparse matching of feature points is used towards fast scene reconstruction, the choice of the type of features to be matched has an important impact on th...
Étienne Vincent, Robert Laganière