Auto-Tuning Structured Light by Optical Stochastic Gradient Descent Sign in CVPR 2020 Event Home Auto-Tuning Structured Light by Optical Stochastic Gradient Descent Sep 29, 2020 | 39 views ComputerVisionFoundation Videos Follow SGD 151 videos · undefined sub area Optimization 1748 videos · undefined sub area Details Authors: Wenzheng Chen, Parsa Mirdehghan, Sanja Fidler, Kiriakos N. Kutulakos Description: We consider the problem of optimizing the performance of an active imaging system by automatically discovering the illuminations it should use, and the way to decode them. Our approach tackles two seemingly incompatible goals: (1) ''tuning'' the illuminations and decoding algorithm precisely to the devices at hand---to their optical transfer functions, non-linearities, spectral responses, image processing pipelines---and (2) doing so without modeling or calibrating the system. without modeling the scenes of interest. and without prior training data. The key idea is to formulate a stochastic gradient descent (SGD) optimization procedure that puts the actual system in the loop: projecting patterns, capturing images, and calculating the gradient of expected reconstruction error. We apply this idea to structured-light triangulation to ''auto-tune'' several devices---from smartphones and laser projectors to advanced computational cameras. Our experiments show that despite being model-free and automatic, optical SGD can boost system 3D accuracy substantially over state-of-the-art coding schemes. Category: CVPR 2020 Comments loading... Reactions (0) | Note 📝 No reactions yet Be the first one to share your thoughts! Reactions(0) Note loading... Recommended 20:14 ICAPS 2014: Truong-Huy Dinh Nguyen on "Bootstrapping Simulation-Based Algorithms..." ICAPS | Aug 5, 2014 19:59 ICAPS 2014: Peter Stone on "TEXPLORE: Real-Time Sample-Efficient Reinforcement Learning for Robots" ICAPS | Aug 6, 2014 18:02 ICAPS 2014: Ron Alford on "On the Feasibility of Planning Graph Style Heuristics for HTN Planning" ICAPS | Aug 6, 2014 22:17 ICAPS 2014: Mike Barley on "Overcoming the Utility Problem in Heuristic Generation: ..." ICAPS | Aug 7, 2014 18:33 ICAPS 2014: Stefan Edelkamp on "Symbolic and Explicit Search Hybrid through Perfect Hash Functions" ICAPS | Aug 7, 2014 Crossminds Chrome Extension Watch videos on arXiv Install Now Subscribe to Our Newsletter ServicesAI Startup JobsAI Funding AboutOur StoryCareersLab HelpContact Us Terms & ConditionsPrivacy PolicyCopyrightCommunity guideline © Provided by CrossCircles Inc.