09-01-2015, 02:17 AM
please send a seminar report on sensors on 3D digitisation
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seminar on sensors on 3d digitization pdf
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please send a seminar report on sensors on 3D digitisation
07-04-2017, 12:20 PM
VLSI optosensors optimized for three-dimensional vision. A description of integrated devices jointly developed for industrial and scientific applications will be given. All sensors presented here have been manufactured with standard CMOS technology that allows the monolithic integration of photodetectors, along with reading circuits and digital signal processors. The machine vision involves the analysis of the properties of the luminous flux reflected or irradiated by the objects. To retrieve the geometric structures of these objects, either to recognize or to measure their dimension, two basic vision strategies are available.
Passive vision, try to analyze the structure of the scene under ambient light. Stereoscopic vision is a passive optical technique. The basic idea is that two or more digital images are taken from known locations. The images are processed to find the correlations between them. As soon as the points of coincidence are identified, the geometry can be calculated. Active vision attempts to reduce the ambiguity of scene analysis by structuring the way the images are formed. Sensors that capitalize active vision can solve most of the ambiguities encountered with two-dimensional imaging systems. Based on lidar or triangulation based laser cameras are examples of active vision techniques. A digital 3D image system based on optical triangulation was developed and demonstrated.
Passive vision, try to analyze the structure of the scene under ambient light. Stereoscopic vision is a passive optical technique. The basic idea is that two or more digital images are taken from known locations. The images are processed to find the correlations between them. As soon as the points of coincidence are identified, the geometry can be calculated. Active vision attempts to reduce the ambiguity of scene analysis by structuring the way the images are formed. Sensors that capitalize active vision can solve most of the ambiguities encountered with two-dimensional imaging systems. Based on lidar or triangulation based laser cameras are examples of active vision techniques. A digital 3D image system based on optical triangulation was developed and demonstrated.
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