Aiming to close the sensing and modelling loop in 3-D digitization. At its core this approach uses a recursive least square method, the kalman filter, to dynamically reconstruct the B-spline surface as the surface data are acquired. That is the acquired data are energetically incorporated into the surface model is then used to dynamically guide further data acquisition. It this enable a closed loop shape sensing and modelling methodology for 3-D digitization. This sensor 3-D digitization enables dynamic parameterization of data points. Dynamic determination of next optimal sensing location, and low difference based efficient sensing and reconstruction.
Keywords
Colour 3d Imaging
Laser Sensors
Cmos Process
VLSI Integration
Authors
D.Saranya
R.Divya
How to Cite this Article
D.Saranya, R.Divya (2018).
"STUDY ON SENSOR 3D ON DIGITIZATION".
International Journal of Contemporary Research in Computer Science and Technology,
4(2), pp. 20-22.
