FLEXIBLE COMPUTER VISION
First Claim
1. A method for flexible interest point computation, comprising:
- producing multiple octaves of a digital image, wherein each octave of said multiple scale octaves comprises multiple layers;
initiating a process comprising detection and description of interest points, wherein said process is programmed to progress layer-by-layer over said multiple layers of each of said multiple octaves, and to continue to a next octave of said multiple octaves upon completion of all layers of a current octave of said multiple octaves;
upon the detection and the description of each interest point of said interest points during said process, recording an indication associated with said interest point in a memory, such that said memory accumulates indications during said process; and
upon interruption to said process, returning a result being based at least on said indications.
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Abstract
A method for flexible interest point computation, comprising: producing multiple octaves of a digital image, wherein each octave of said multiple scale octaves comprises multiple layers; initiating a process comprising detection and description of interest points, wherein said process is programmed to progress layer-by-layer over said multiple layers of each of said multiple octaves, and to continue to a next octave of said multiple octaves upon completion of all layers of a current octave of said multiple octaves; upon the detection and the description of each interest point of said interest points during said process, recording an indication associated with said interest point in a memory, such that said memory accumulates indications during said process; and upon interruption to said process, returning a result being based at least on said indications.
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Citations
22 Claims
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1. A method for flexible interest point computation, comprising:
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producing multiple octaves of a digital image, wherein each octave of said multiple scale octaves comprises multiple layers; initiating a process comprising detection and description of interest points, wherein said process is programmed to progress layer-by-layer over said multiple layers of each of said multiple octaves, and to continue to a next octave of said multiple octaves upon completion of all layers of a current octave of said multiple octaves; upon the detection and the description of each interest point of said interest points during said process, recording an indication associated with said interest point in a memory, such that said memory accumulates indications during said process; and upon interruption to said process, returning a result being based at least on said indications. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11)
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12. An apparatus comprising:
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a digital imaging device; a processing unit configured to; produce multiple octaves of a digital image, wherein each octave of said multiple scale octaves comprises multiple layers; initiate a process comprising detection and description of interest points, wherein said process is programmed to progress layer-by-layer over said multiple layers of each of said multiple octaves, and to continue to a next octave of said multiple octaves upon completion of all layers of a current octave of said multiple octaves; upon the detection and the description of each interest point of said interest points during said process, record an indication associated with said interest point in a memory, such that said memory accumulates indications during said process; and upon interruption to said process, return a result being based at least on said indications. - View Dependent Claims (13, 14, 15, 16, 17, 18, 19, 20, 21)
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22. A method for flexible object recognition, comprising:
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receiving predetermined data being visually characteristic of one or more objects; receiving a digital image; initiating an analysis of said digital image through consecutive application of filters of different magnitudes to said digital image, to produce, during each filter application of said consecutive applications, at least one indication of correspondence between said digital image and said one or more visual objects; and interrupting said analysis on demand, and providing a result comprising said at least one indication of correspondence.
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Specification