Title :
A generalized depth estimation algorithm with a single image
Author :
Lai, Shang-Hong ; Fu, Chang-Wu ; Chang, Shyang
Author_Institution :
Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsin Chu, Taiwan
fDate :
4/1/1992 12:00:00 AM
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
Keywords :
computer vision; optimisation; parameter estimation; computer vision; defocus; edge orientation; generalized depth estimation algorithm; optimization; parameter estimation; synthetic images; Cameras; Computer vision; Estimation error; Focusing; Layout; Lenses; Noise measurement; Optimization methods; Shape; Testing;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on