A system for determining the position, orientation and motion of a satellite with respect to a robotic spacecraft using video data is advanced. This system utilizes two levels of pose and motion estimation: an initial...
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Several optical processors using color information for product inspection are described. The systems described employ the use of inputs in different colors (RGB) to provide: enhancement of portions of the product, red...
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A 3-D distortion-invariant multi-class object identification problem is addressed. Our new, fast and robust string-code generation technique (using optical and digital methods) makes the rule-based system quite practi...
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New optical neural net and symbolic substitution production system architectures are described. Several new learning aspects of these architectures are noted and initial results obtained with a multiple object/part id...
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Efficient methods for determining the passband of the Binary Phase-Only Filter (BPOF) such that we get the maximum possible output Signal-to-Noise Ratio (SNR) are identified. Computer simulation results are presented ...
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Hybrid digital-optical processors are designed to use the best features of their components;the speed of an analog optical processor and the accuracy of the digital processor;to overcome the accuracy limitations of an...
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New optical correlation filter results are reviewed for use in symbolic and inference correlators for ATR scene analysis. MACE filter synthesis has attractive properties that include: easily detectable peaks, distorti...
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Using multi-sensor image information aids in the interpretation of a represented scene. By segmenting the scene into meaningful parts, we can analyze each individual component and create a description of the scene. Ra...
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Using multi-sensor image information aids in the interpretation of a represented scene. By segmenting the scene into meaningful parts, we can analyze each individual component and create a description of the scene. Range data is useful for segmenting an image into objects based on the distance relationships between pixels. In this paper, we demonstrate a hybrid optical/digital technique for segmenting range data into object and non-object regions. The object regions found are used as masks to be ANDed with other sensor imagery for identification of the regions.
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