3D range image resampling using B-spline surface fitting

Songtao Li; Dongming Zhao

doi:10.1117/12.385539

9 May 2000 3D range image resampling using B-spline surface fitting

Songtao Li, Dongming Zhao

Proceedings Volume 4077, International Conference on Sensors and Control Techniques (ICSC 2000); (2000) https://doi.org/10.1117/12.385539
Event: International Conference on Sensors and Control Techniques (ICSC2000), 2000, Wuhan, China

Abstract

Many optical range sensors use an Equal Angle Increment (EAI) sampling. This type of sensors uses rotating mirrors with constant angular velocity for radar and triangulation techniques, where the sensor sends and receives modulated coherent light through the mirror. Such an EAI model generates data for surface geometrical description that has to be converted, in many applications, into data which meet the desired Equal Distance Increment orthographic projection model. For an accurate analysis in 3D images, an interpolation scheme is needed to resample the range data into spatially equally-distance sampling data that emulate the Cartesian orthographic projection model. In this paper, a resampling approach using a B-Spline surface fitting is proposed. The first step is to select a new scale for all X, Y, Z directions based on the 3D Cartesian coordinates of range data obtained from the sensor parameters. The size of the new range image and the new coordinates of each point are then computed. The new range value is obtained using a B-Spline surface fitting based on the new Cartesian coordinates. The experiments show that this resampling approach provides a geometrically accurate solution for many industrial applications which deploy the EAI sampling sensors.

Citation Download Citation

Songtao Li and Dongming Zhao "3D range image resampling using B-spline surface fitting", Proc. SPIE 4077, International Conference on Sensors and Control Techniques (ICSC 2000), (9 May 2000); https://doi.org/10.1117/12.385539

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