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Target acquisition using Natural Feature Image Recognition

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1 Author(s)
Chiun-Hong Chien ; GeoControl Systems Inc., 2900 Woodridge Dr., Suite 100, Houston, TX 77087, USA

Natural feature image recognition (NFIR) is camera based robotic vision system for recognition, acquisition, tracking and pose estimation of a target vehicle. This paper presents our on-going work on development of the capability of the NFIR software in recognition and acquisition for autonomous rendezvous and docking. The heart of the acquisition algorithm is a classification-based scheme. Feature points with high intensity gradients are selected as key features and point matching is formulated as a multi-class classification problem. The proposed scheme shifts much of the computation burden to a training phase to ensure an efficient and robust run-time performance on target recognition as demonstrated by experimental results.

Published in:

2009 IEEE Aerospace conference

Date of Conference:

7-14 March 2009