Target recognition method with frequency features on retina-like laser detection and range images

A target-recognition method for retina-like laser detection and range images is proposed. A log-polar (LP) frequency descriptor (LPHFM) is constructed using Fourier–Mellin transformation combined with a high-pass filter for LP range images. The target-recognition result can be obtained via the maximum energy from the phase correlation spectrum. The LPHFM feature with LP images is explored, and examples are used to demonstrate the validity and capability of the proposed method. Finally, important conclusions are drawn as follows: (I) Applying frequency features with the LP process is valid; (II) LPHFM feature extraction is easily accomplished when the technique is directly applied to LP images after high-pass filtering; (III) The accuracy of the proposed solution agrees well with theoretical values when angle and scale variants are used. Thus, the proposed recognition solution may be used in various applications involving space-variant image processing.