A generalized depth estimation algorithm with a single image
Shang-Hong Lai
Chang-Wu Fu
Shyang Chang
Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsin Chu;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Apr 1992
Volume: 14,
Issue: 4
On page(s): 405-411
ISSN: 0162-8828
References Cited: 20
CODEN: ITPIDJ
INSPEC Accession Number: 4166325
Digital Object Identifier: 10.1109/34.126803
Current Version Published: 2002-08-06
Abstract
A depth estimation algorithm proposed by A.P. Pentland (1987) is
generalized. In the proposed algorithm, the raw image data in the
vicinity of the edge is used to estimate the depth from defocus. Since
no differentiation operation on the image data is required before the
optimization process, the method is less sensitive to the noise
disturbance of measurements. Furthermore, the edge orientation that was
critical in Pentland's approach will not be required in the case. This
algorithm is then applied to synthetic images containing various amounts
of noise to test its performance. Experimental results indicate that the
depth estimation errors are kept within 5% of true values on the average
when it is applied to real images
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