Multi-viewpoint attitude estimating and self-calibrating method for three-dimensional active vision sensor

Abstract

A multi-viewpoints gesture estimate and self-demarcate method for three-dimensional initiative vision sensor belongs to three-dimensional figure imaging and sculpting technology. The said sensor is made up with numeric projector and camera. Collect object vein picture; project a set of orthogonal list map to object early or late and collect corresponding coding list picture; count the two-dimensional coordinate of characteristic point to vein picture and phase value to coding list picture. Use transforming arithmetic from phase position to coordinate to seek the corresponding relationship of diagnostic point of object between the project plane to numeric projector and the imaging plane to camera. Change viewpoint and repeat the said steps by using polar ray geometry restriction element to base optimization equation to automatically estimate multi-viewpoint location gesture and self-demarcate three-dimensional initiative vision sensor. It is veracious, automatic and special to locale multi-viewpoints gesture estimate and self-demarcate of vision sensor.

Description

technical field [0001] The invention relates to a multi-viewpoint posture estimation and self-calibration method of a three-dimensional active vision sensor, which belongs to three-dimensional digital imaging and modeling technology. Background technique [0002] 3D Digital Imaging and Modeling (3DIM-3D Digital Imaging and Modeling) is an emerging interdisciplinary field that has been actively researched internationally in recent years. It is widely used in reverse engineering, cultural relics protection, medical diagnosis, industrial detection and virtual reality and many other aspects. As one of the main means of obtaining 3D information, the 3D active vision sensor based on phase mapping has the advantages of fast speed, high resolution, non-contact, and full-field data acquisition, and has attracted extensive attention and research. It is an important task to solve the motion direction of the sensor and estimate the position and attitude of the sensor at different viewp...

AI Technical Summary

Problems solved by technology

For 3D active vision sensors based on phase mapping, the calibration methods are mostly static manual operations, and the existing camera self-calibration methods, such as Zhang (IEEE Transactions on Robotics and Automation, Vol.12, No.1, 1996, pp103 -113), and cannot be directly applied to 3D active vision sensors

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