Dan McReynolds

Abstract We propose a new approach for the 3D correlation. We compute directly the correlation integral without using the Fourier transform in the third dimension where the space bandwidth product of the sampled signal is small. We reformulate the 3D Fourier transform with a surface object model and the Lambert's Law. We discuss the means for recovering the object surface relief height function.

Abstract We propose a new approach for the 3D correlation. We compute directly the correlation integral without using the Fourier transform in the third dimension where the space bandwidth product of the sampled signal is small. We reformulate the 3D Fourier transform with a surface object model and the Lambert's Law. We discuss the means for recovering the object surface relief height function.

Abstract We present approaches for visible and infrared video image sequence registration, useful for image fusion, target detection and recognition. For the visible and mid-infrared images of well-separated spectral bands the challenge in image registration is the feature inconsistency and low contract and noise in the infrared image background. Possibility of integrating the optical correlator into the operational systems is discussed.

A solution is proposed for the problem of determining the correspondence between sets of point features extracted from a pair of images taken of a static scene from disparate viewpoints. The relative position and orientation between the viewpoints as well as the ...

This paper proposes an automatic face detection system that combines two novel methods to achieve invariant face detection and a high discrimination between faces and distractors in static color images of complex scenes. The system applies Orthogonal Fourier-Mellin Moments (OFMMs), recently developed by one of the authors [1], to achieve fully translation-, scale-and in-plane rotation-invariant face detection. Support Vector Machines (SVMs), a binary classifier based on a novel statistical learning technique that has been developed ...

Abstract The author addresses the problem of determining the motion of an airborne passive imaging sensor, eg images acquired by a remotely piloted vehicle. The solution has applications in passive navigation. From a number of point correspondences from two or ...

Abstract: A translating and rotating camera acquires images of a static scene from disparate viewpoints. Given a minimum number of corresponding image tokens from two or more images, the rotation and translation (referred to as the relative orientation) of the camera, ...

We apply the orthogonal Fourier-Mellin moments (OFMMs) to the specific problem of fully translation-, scale- and in-plane rotation-invariant detection of human faces in 2D static color images, and compare their performance with that of the generalized Hu's moments or non-orthogonal FMMs. The OFMMs have the advantages of non-redundancy of information, robustness with respect to noise and the ability to reconstruct