IEEE Transactions on Pattern Analysis and Machine Intelligence
An efficient coordinate frame calibration method for 3-D measurement by multiple camera systems
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Review and Preview: Disocclusion by Inpainting for Image-Based Rendering
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Neurofuzzy-Based Approach to Mobile Robot Navigation in Unknown Environments
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Real-Time Edge Follow: A Real-Time Path Search Approach
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Application of Passive Techniques for Three Dimensional Cameras
IEEE Transactions on Consumer Electronics
A Fuzzy-Neural approach for estimation of depth map using focus
Applied Soft Computing
Optimal depth estimation by combining focus measures using genetic programming
Information Sciences: an International Journal
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New polymers are frequently appearing in the literature with a wide range of applications, e.g., they are being used in applications like fuel cell membrane, fertilizers, coating elements, etc. One of the requirements of the researchers involved in polymer science is to quickly compare the samples being fabricated. One of the measures for comparison is surface roughness. However, the high cost involved in the estimation of surface roughness limits its extensive and exhaustive usage. In this paper, we propose to estimate the surface roughness using the image focus, i.e., shape from focus (SFF). We show that the results from SFF are encouraging for comparison of polymers using surface roughness.