Estelle development toolset (EDT)
Computer Networks and ISDN Systems
Machine vision
Distortion Invariant Object Recognition in the Dynamic Link Architecture
IEEE Transactions on Computers
Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition: a convolutional neural-network approach
IEEE Transactions on Neural Networks
Face Recognition by Using Feature Orientation and Feature Geometry Matching
Journal of Intelligent and Robotic Systems
Journal of Intelligent and Robotic Systems
Recent advances in visual and infrared face recognition: a review
Computer Vision and Image Understanding
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A novel method for representing 3D objects that unifies viewer and model centered object representations is presented. A unified 3D frequency-domain representation (called Volumetric Frequency Representation驴VFR) encapsulates both the spatial structure of the object and a continuum of its views in the same data structure. The frequency-domain image of an object viewed from any direction can be directly extracted employing an extension of the Projection Slice Theorem, where each Fourier-transformed view is a planar slice of the volumetric frequency representation. The VFR is employed for pose-invariant recognition of complex objects, such as faces. The recognition and pose estimation is based on an efficient matching algorithm in a four-dimensional Fourier space. Experimental examples of pose estimation and recognition of faces in various poses are also presented.