no code implementations • 8 Nov 2018 • Wayne Treible, Scott Sorensen, Andrew D. Gilliam, Chandra Kambhamettu, Joseph L. Mundy
Digital Surface Model generation from satellite imagery is a difficult task that has been largely overlooked by the deep learning community.
no code implementations • CVPR 2017 • Wayne Treible, Philip Saponaro, Scott Sorensen, Abhishek Kolagunda, Michael O'Neal, Brian Phelan, Kelly Sherbondy, Chandra Kambhamettu
We present the Color And Thermal Stereo (CATS) benchmark, a dataset consisting of stereo thermal, stereo color, and cross-modality image pairs with high accuracy ground truth (< 2mm) generated from a LiDAR.
no code implementations • 18 Feb 2017 • Abhishek Kolagunda, Scott Sorensen, Philip Saponaro, Wayne Treible, Chandra Kambhamettu
We present a shape registration approach that solves for the transformation using fuzzy correspondences to maximize the overlap between the given shape and the target shape.