Paper Info
Title
Depth measurement from integral images through viewpoint image extraction and a modified multibaseline disparity analysis algorithm
Abstract
Integral imaging is a technique capable of displaying images with continuous parallax in full natural color. This paper presents a method of extracting depth map from integral images through viewpoint image extraction. The approach starts with the constructions of special viewpoint images from the integral image. Each viewpoint image contains a two-dimensional parallel recording of the three-dimensional scene. A new mathematical expression giving the relationship between object depth and the corresponding viewpoint image pair displacement is derived by geometrically analyzing the integral recording process. The depth can be calculated from the corresponding displacement between two viewpoint images. A modified multibaseline algorithm, where the baseline is defined as the sample distance between two viewpoint images, is further adopted to integrate the information from multiple extracted viewpoint images. The developed depth extraction method is validated and applied to both real photographic and computer generated unidirectional integral images. The depth measuring solution gives a precise description of the object thickness with an error of less than 0.3% from the photographic image in the example. (c) 2005 SPIE and IS&T.
Year
DOI
Venue
2005
10.1117/1.1902998
JOURNAL OF ELECTRONIC IMAGING
Keywords
DocType
Volume
integral imaging,microlens
Journal
14
Issue
ISSN
Citations 
2
1017-9909
0
PageRank 
References 
Authors
0.34
3
4
Name
Order
Citations
PageRank
ChunHong Wu100.34
Amar Aggoun211521.34
Malcolm McCormick392.99
S. Y. Kung4183.85