Image-based modeling and rendering from multiple views: a multiple cues based propagation approach

In this paper we present a method for modeling a complex scene from a small set of images and then synthesizing a new view. Consider one of input images as the reference image, a small set of reliable pixel matches are initially selected and then propagated to neighboring pixels based on the cluster...

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Published in:IEEE International Conference on Image Processing 2005 Vol. 3; pp. III - 9
Main Authors: Jian Yao, Wai-Kuen Cham
Format: Conference Proceeding
Language:English
Published: IEEE 2005
Subjects:
Application software
Computational modeling
Digital cameras
Image sequences
Layout
Optical propagation
Pixel
Rendering (computer graphics)
Three dimensional displays
Virtual reality
ISBN:9780780391345, 0780391349
ISSN:1522-4880
Online Access:Get full text
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Abstract In this paper we present a method for modeling a complex scene from a small set of images and then synthesizing a new view. Consider one of input images as the reference image, a small set of reliable pixel matches are initially selected and then propagated to neighboring pixels based on the clustering-based light invariant photoconsistency constraint and the data-driven depth smoothness constraint, which are integrated into a pixel matching quality function to deal with occlusions, light changes and depth discontinuity. The mismatched points in propagation are then iteratively rectified. Thus, the 3D structures of the scene are expressed by a large set of densely matched 3D points. For a new view, we initialize it by projecting these matched points. Both match propagation and mismatch rectification are used to complete the whole rendering task.
AbstractList In this paper we present a method for modeling a complex scene from a small set of images and then synthesizing a new view. Consider one of input images as the reference image, a small set of reliable pixel matches are initially selected and then propagated to neighboring pixels based on the clustering-based light invariant photoconsistency constraint and the data-driven depth smoothness constraint, which are integrated into a pixel matching quality function to deal with occlusions, light changes and depth discontinuity. The mismatched points in propagation are then iteratively rectified. Thus, the 3D structures of the scene are expressed by a large set of densely matched 3D points. For a new view, we initialize it by projecting these matched points. Both match propagation and mismatch rectification are used to complete the whole rendering task.
Author Wai-Kuen Cham
Jian Yao
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  organization: Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China
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  surname: Wai-Kuen Cham
  fullname: Wai-Kuen Cham
  organization: Dept. of Electron. Eng., Chinese Univ. of Hong Kong, Shatin, China
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Snippet In this paper we present a method for modeling a complex scene from a small set of images and then synthesizing a new view. Consider one of input images as the...
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StartPage III
SubjectTerms Application software
Computational modeling
Digital cameras
Image sequences
Layout
Optical propagation
Pixel
Rendering (computer graphics)
Three dimensional displays
Virtual reality
Title Image-based modeling and rendering from multiple views: a multiple cues based propagation approach
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Volume 3
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