This paper summarizes the design of a convolution processor card that is very low in cost, easy to use and most importantly, performs a 9 × 9 convolution in less than a second. Its high-performance is attributed ...
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If an autonomous vehilce is to operate in an environment of arbitrary complexity, it must be able to perceive the locations of the obstacles in its environment and store this information in a world model. It is import...
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We present a scheme of extracting edge information from parallel spatial frequency bands. From these we create an integrated image of most significant edges of different scales. The frequency bands are realized using ...
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Orientation selection is the inference of orientation information out of images. It is one of the foundations on which other visual structures are built, since it must precede the formation of contours out of pointill...
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Orientation selection is the inference of orientation information out of images. It is one of the foundations on which other visual structures are built, since it must precede the formation of contours out of pointillist data and surfaces out of surface markings. We take a differential geometric view in defining orientation selection and develop algorithms for actually doing it. The goal of these algorithms is formulated in mathematical terms as the inference of a vector field of tangents (to the contours), and the algorithms are studied in both abstract and computational forms. They are formulated as matching problems, and algorithms for solving them are reduced to biologically plausible terms. We show that two different matching problems are necessary, the first for 1-dimensional contours (which we refer to as Type I processes) and the second for 2-dimensional flows (or Type II processes).
The objective of this paper is to develop an innovative 3-D objects recognition algorithm which solves correspondence problem and reduces computational cost for recognition. Correspondency between features of unknown ...
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A flexible robotic system with intelligent sensory capability which can be used in an industrial environment to autonomously perform sophisticated manufacturing tasks that are typically done by manual labor is present...
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In this paper, the usefulness of applying the complex as well as ordinary moment features for similar object recognition using a tactile array sensor has been explored. Some complex moment invariants have been derived...
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Much of the emphasis in computervisionresearch has been on recognizing objects. However, in order to perform tasks such as manipulating and avoiding collisions with objects, one needs to consider how to derive appro...
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Much of the emphasis in computervisionresearch has been on recognizing objects. However, in order to perform tasks such as manipulating and avoiding collisions with objects, one needs to consider how to derive appropriate three-dimensional descriptions of objects from available sensor data. A description is given of a computational approach that has been successful in deriving renditions of shaded images in terms of volumetric primitives such as ellipsoids and cylinders.< >
The basic biological principles of nonuniform image representation in the combined frequency-position space are utilized in an approach to image representation and processing. A scheme of image decomposition into opti...
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The basic biological principles of nonuniform image representation in the combined frequency-position space are utilized in an approach to image representation and processing. A scheme of image decomposition into optimal localized frequency operators, the so-called Gabor elementary functions which minimize the uncertainty inherent in image representation, is accordingly proposed. Applications to size-invariance and object-separable pattern analysis, localized texture discrimination, and representation by partial information are discussed, illustrating the advantages of the Gabor transform.< >
Stereo algorithms using a wide baseline must cope with a large search space on top of the problems due to noise. A single pair of images is not a reliable source of depth information. One solution is to integrate the ...
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Stereo algorithms using a wide baseline must cope with a large search space on top of the problems due to noise. A single pair of images is not a reliable source of depth information. One solution is to integrate the information from several image pairs. By incrementally refining estimates of the depth as the camera changes position, it is possible to build a description of the scene which, in turn, can be used as feedback to improve the extraction of depth information. The authors have developed a stereo algorithm based on correlation matching that is especially suited to being integrated into a proposed feedback loop. They have begun experiments with the integration of depth information over a sequence into a single environmental map.< >
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