Estimating geographic information from an image is an excellent, difficult high-level computer vision problem whose time has come. The emergence of vast amounts of geographically-...
We propose a novel procedure for estimating blur in a single image corrupted by blur due to a rigid camera motion during the exposure. Often this blur is approximated as space inv...
We present a novel variational approach to estimate dense depth maps from multiple images in real-time. By using robust penalizers for both data term and regularizer, our method pr...
— Accurate localization of landmarks in the vicinity of a robot is a first step towards solving the SLAM problem. In this work, we propose algorithms to accurately estimate the ...
We address the problem of estimating a person’s body height from a single uncalibrated image. The novelty of our work lies in that we handle two difficult cases not previously ...