Paper
18 September 2014 Improvement on object detection accuracy by using two compound eye systems
Mengchao Ma, Keyi Wang
Author Affiliations +
Proceedings Volume 9282, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment; 92820G (2014) https://doi.org/10.1117/12.2069962
Event: 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT 2014), 2014, Harbin, China
Abstract
Compound eye is a multiple apertures imaging device, indicates that it can be applied for three-dimensional object detection. In our previous report, an artificial compound eye system was developed for 3D object detection. The system consists of a layer of plano-convex microlenses and a prism-like beam steering lens. An innovative multi-position calibration method is developed to relate the incident light rays and the relevant image points. Theoretically, one compound eye system alone is capable of 3D objects detection. However, the detection accuracy is limited due to the relatively small baseline between the adjacent microlenses. In this work, an equivalent large baseline is obtained by using a two compound eyes system. Preliminary experiments were performed to verify the improvement on the accuracy of 3D object detection. The experimental results with two compound eyes are compared with that obtained by only one compound eye. Experimental results show that the system with two compound eyes can detect an object much more accurately, indicating the feasibility and flexibility of the proposed method.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mengchao Ma and Keyi Wang "Improvement on object detection accuracy by using two compound eye systems", Proc. SPIE 9282, 7th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 92820G (18 September 2014); https://doi.org/10.1117/12.2069962
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Cited by 1 scholarly publication.
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KEYWORDS
Eye

Calibration

Microlens

Axicons

Image sensors

LCDs

Cameras

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