A fundamental problem in depth from defocus is the measurement of relative defocus between images. We propose a class of broadband operators that, when used together, provide inva...
A fundamental problem in depth from defocus is the measurement of relative defocus between images. The performance of previously proposed focus operators are inevitably sensitive t...
We present a novel method for inferring three-dimensional shape from a collection of defocused images. It is based on the observation that defocused images are the null-space of ce...
In this paper we study the area and depth trade-off in LUT based FPGA technology mapping. Starting from a depth-optimal mapping solution, we perform a number of depth relaxation o...
Abstract. The emergence of computing environments where smart devices are embedded pervasively in the physical world has made possible many interesting applications and has trigger...