Adaptive Illumination based Depth Sensing using Deep Superpixel and Soft Sampling Approximation

1 code implementation • 23 Mar 2021 • Qiqin Dai, Fengqiang Li, Oliver Cossairt, Aggelos K Katsaggelos

The adaptive sparse depth sampling network is jointly trained with a fusion network of an RGB image and sparse depth, to generate optimal adaptive sampling masks.

Adaptive Image Sampling using Deep Learning and its Application on X-Ray Fluorescence Image Reconstruction

3 code implementations • 27 Dec 2018 • Qiqin Dai, Henry Chopp, Emeline Pouyet, Oliver Cossairt, Marc Walton, Aggelos K. Katsaggelos

We propose an XRF image inpainting approach to address the issue of long scanning time, thus speeding up the scanning process while still maintaining the possibility to reconstruct a high quality XRF image.

Binarization Image Inpainting +1