76 citations · 76 across the 3 of their papers we have counts for
7 papers
Online Adaptive Image Reconstruction (OnAIR) Using Dictionary Models
Brian E. Moore, Saiprasad Ravishankar, Raj Rao Nadakuditi +1
Sparsity and low-rank models have been popular for reconstructing images and videos from limited or corrupted measurements. Dictionary or transform learning methods are useful in a…
Panoramic Robust PCA for Foreground-Background Separation on Noisy, Free-Motion Camera Video
Brian E. Moore, Chen Gao, Raj Rao Nadakuditi
This work presents a new robust PCA method for foreground-background separation on freely moving camera video with possible dense and sparse corruptions. Our proposed method regist…
Robust Photometric Stereo via Dictionary Learning
Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
Photometric stereo is a method that seeks to reconstruct the normal vectors of an object from a set of images of the object illuminated under different light sources. While effecti…
Robust Surface Reconstruction from Gradients via Adaptive Dictionary Regularization
Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
This paper introduces a novel approach to robust surface reconstruction from photometric stereo normal vector maps that is particularly well-suited for reconstructing surfaces from…
Robust Photometric Stereo Using Learned Image and Gradient Dictionaries
Andrew J. Wagenmaker, Brian E. Moore, Raj Rao Nadakuditi
Photometric stereo is a method for estimating the normal vectors of an object from images of the object under varying lighting conditions. Motivated by several recent works that ex…
Augmented Robust PCA For Foreground-Background Separation on Noisy, Moving Camera Video
Chen Gao, Brian E. Moore, Raj Rao Nadakuditi
This work presents a novel approach for robust PCA with total variation regularization for foreground-background separation and denoising on noisy, moving camera video. Our propose…