caa a22 4500 469036141 CHVBK 20180323132756.0 cr unu---uuuuu 170328e19920901xx s 000 0 eng 10.1007/BF00055153 doi (NATIONALLICENCE)springer-10.1007/BF00055153 Analog VLSI systems for image acquisition and fast early vision processing [Elektronische Daten] [John Wyatt Jr., Craig Keast, Mark Seidel, David Standley, Berthold Horn, Tom Knight, Charles Sodini, Hae-Seung Lee, Tomaso Poggio] This article describes a project to design and build prototype analog early vision systems that are remarkably low-power, small, and fast. Three chips are described in detail. A continuous-time CMOS imager and processor chip uses a fully parallel 2-D resistive grid to find an object's position and orientation at 5000 frames/second, using only 30 milliwatts of power. A CMOS/CCD imager and processor chip does high-speed image smoothing and segmentation in a clocked, fully parallel 2-D array. And a chip that merges imperfect depth and slope data to produce an accurate depth map is under development in switched-capacitor CMOS technology. Kluwer Academic Publishers, 1992 Wyatt Jr. John Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 02139, Cambridge, MA aut Keast Craig Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 02139, Cambridge, MA aut Seidel Mark Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 02139, Cambridge, MA aut Standley David Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 02139, Cambridge, MA aut Horn Berthold Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 02139, Cambridge, MA aut Knight Tom Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 02139, Cambridge, MA aut Sodini Charles Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 02139, Cambridge, MA aut Lee Hae-Seung Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 02139, Cambridge, MA aut Poggio Tomaso Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 02139, Cambridge, MA aut International Journal of Computer Vision Kluwer Academic Publishers 8/3(1992-09-01), 217-230 0920-5691 8:3<217 1992 8 11263 https://doi.org/10.1007/BF00055153 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00055153 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wyatt Jr John Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 02139, Cambridge, MA aut NATIONALLICENCE 700 1- Keast Craig Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 02139, Cambridge, MA aut NATIONALLICENCE 700 1- Seidel Mark Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 02139, Cambridge, MA aut NATIONALLICENCE 700 1- Standley David Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 02139, Cambridge, MA aut NATIONALLICENCE 700 1- Horn Berthold Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 02139, Cambridge, MA aut NATIONALLICENCE 700 1- Knight Tom Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 02139, Cambridge, MA aut NATIONALLICENCE 700 1- Sodini Charles Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 02139, Cambridge, MA aut NATIONALLICENCE 700 1- Lee Hae-Seung Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 02139, Cambridge, MA aut NATIONALLICENCE 700 1- Poggio Tomaso Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 02139, Cambridge, MA aut NATIONALLICENCE 773 0- International Journal of Computer Vision Kluwer Academic Publishers 8/3(1992-09-01), 217-230 0920-5691 8:3<217 1992 8 11263 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer