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» Generic Scene Recovery Using Multiple Images
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ICANN
2010
Springer
13 years 11 months ago
A Learned Saliency Predictor for Dynamic Natural Scenes
Abstract. We investigate the extent to which eye movements in natural dynamic scenes can be predicted with a simple model of bottom-up saliency, which learns on different visual re...
Eleonora Vig, Michael Dorr, Thomas Martinetz, Erha...
ACCV
2007
Springer
14 years 4 months ago
Evolving Measurement Regions for Depth from Defocus
Depth from defocus (DFD) is a 3D recovery method based on estimating the amount of defocus induced by finite lens apertures. Given two images with different camera settings, the ...
Scott McCloskey, Michael S. Langer, Kaleem Siddiqi
WSCG
2003
139views more  WSCG 2003»
13 years 11 months ago
Online Accelerated Rendering of Visual Hulls in Real Scenes
This paper presents an online system which is capable of reconstructing and rendering dynamic objects in real scenes. We reconstruct visual hulls of the objects by using a shape-f...
Ming Li, Marcus A. Magnor, Hans-Peter Seidel
ICCV
2009
IEEE
15 years 2 months ago
Decomposing a Scene into Geometric and Semantically Consistent Regions
High-level, or holistic, scene understanding involves reasoning about objects, regions, and the 3D relationships between them. This requires a representation above the level of ...
Stephen Gould, Richard Fulton, Daphne Koller
ICIP
2003
IEEE
14 years 11 months ago
A voting scheme for estimating the synchrony of moving-camera videos
Recovery of dynamic scene properties from multiple videos usually requires the manipulation of synchronous (simultaneously captured) frames. This paper is concerned with the autom...
D. W. Pooley, Michael J. Brooks, Anton van den Hen...