Rapid automatic target recognition using generic 3D sensor and shape-from-motion data

G. Bouchette; P. Iles; C. English; M. Labrie; B. Powaschuk; P. Church; J. Maheux

doi:10.1117/12.719858

7 May 2007 Rapid automatic target recognition using generic 3D sensor and shape-from-motion data

G. Bouchette, P. Iles, C. English, M. Labrie, B. Powaschuk, P. Church, J. Maheux

Proceedings Volume 6566, Automatic Target Recognition XVII; 656619 (2007) https://doi.org/10.1117/12.719858
Event: Defense and Security Symposium, 2007, Orlando, Florida, United States

Abstract

Automatic Target Recognition (ATR) using three-dimensional (3D) sensor data has proven very successful in experimental platforms. One of the factors limiting the implementation of these approaches is lag in operational hardware to provide the type of data required. Neptec has addressed this sensor concern in its 3D ATR software. The need for specific operational 3D sensing hardware is avoided by using a generic range image format, and a shape-from-motion (SfM) method enables the generation of 3D data using widely available 2D sensors. The previously reported ATR software has been expanded from proof-of-concept ground-to-ground to include air-to-ground capabilities. The system uses a generic 3D model of the target, such as from CAD or scanned from a scale or full-sized model which does not need to be perfect. The rapid recognition approach simultaneously provides target pose estimation. This capability has been demonstrated using ground-based imaging LiDAR, airborne LiDAR, scannerless AMcw LiDAR, and shape-from-motion using a 2D camera. Multiple data sets can be fused to optimize confidence in the recognition and provide measures of similarity between different targets and the data set. This paper presents an overview of the 3D ATR approach and updates performance characteristics from a variety of tests that include synthetic data, lab tests, and field tests. It is shown that the approach is fast, highly robust, flexible, and is primarily limited by the quality of sensor data. Particular emphasis is placed on the shape-from-motion application since this capability can make use of widely used operational 2D imaging sensor packages.

Citation Download Citation

G. Bouchette, P. Iles, C. English, M. Labrie, B. Powaschuk, P. Church, and J. Maheux "Rapid automatic target recognition using generic 3D sensor and shape-from-motion data", Proc. SPIE 6566, Automatic Target Recognition XVII, 656619 (7 May 2007); https://doi.org/10.1117/12.719858

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