Optical signal processing with illumination-encoded filters
Computer Vision and Image Understanding
Fast spectral reflectance recovery using DLP projector
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part I
Exploiting DLP Illumination Dithering for Reconstruction and Photography of High-Speed Scenes
International Journal of Computer Vision
Reference consistent reconstruction of 3D cloth surface
Computer Vision and Image Understanding
Computational plenoptic imaging
ACM SIGGRAPH 2012 Courses
Performance Capture of High-Speed Motion Using Staggered Multi-View Recording
Computer Graphics Forum
Single color one-shot scan using topology information
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Robust depth sensing with adaptive structured light illumination
Journal of Visual Communication and Image Representation
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Active vision techniques use programmable light sources, such as projectors, whose intensities can be controlled over space and time. We present a broad framework for fast active vision using Digital Light Processing (DLP) projectors. The digital micromirror array (DMD) in a DLP projector is capable of switching mirrors "on" and "off" at high speeds (106/s). An off-the-shelf DLP projector, however, effectively operates at much lower rates (30-60Hz) by emitting smaller intensities that are integrated over time by a sensor (eye or camera) to produce the desired brightness value. Our key idea is to exploit this "temporal dithering" of illumination, as observed by a high-speed camera. The dithering encodes each brightness value uniquely and may be used in conjunction with virtually any active vision technique. We apply our approach to five well-known problems: (a) structured light-based range finding, (b) photometric stereo, (c) illumination de-multiplexing, (d) high frequency preserving motion-blur and (e) separation of direct and global scene components, achieving significant speedups in performance. In all our methods, the projector receives a single image as input whereas the camera acquires a sequence of frames.