Diffusion has been used extensively in computer vision. Most common applications of diffusion have been in low level vision problems like segmentation and edge detection. In this paper a novel application of the linear diffusion principle is made for the estimation of depth using the properties of the real aperture imaging system. The method uses two defocused images of a scene and the lens parameter setting as input and estimates the depth in the scene, and also generates the corresponding fully focused equivalent pin-hole image. The algorithm described here also brings out the equivalence of the two modalities, viz. depth from focus and depth from defocus for structure recovery.
Recommended citation: V.P. Namboodiri and S. Chaudhuri (2004). “Use of Linear Diffusion in depth estimation based on defocus cue” Proceedings of Fourth Indian Conference on Computer Vision, Graphics & Image Processing (ICVGIP) Kolkata, India. December 2004.