A segmentation approach is presented that uses combined information of range data and structured light. Structured light are good for extracting surface patches that cannot be easily obtained from gray scale images. F...
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ISBN:
(纸本)0819404489
A segmentation approach is presented that uses combined information of range data and structured light. Structured light are good for extracting surface patches that cannot be easily obtained from gray scale images. Furthermore surface normal discontinuity can be detected at light stripe flection points. Accidental alignments of light stripes may confuse the boundaries of surfaces that are at different depths. This problem can be solved using range data that are specially good for detecting depth discontinuity.
This paper describes an algorithm which recovers 6 degrees of freedom ( that is rotational and translational matrices R and T ) of polyhedral objects using L-corners in a monocular image. First the gradients of the ci...
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ISBN:
(纸本)0819404489
This paper describes an algorithm which recovers 6 degrees of freedom ( that is rotational and translational matrices R and T ) of polyhedral objects using L-corners in a monocular image. First the gradients of the cirtain object''s faces are determined using the constraints derived from angles of L-corners. R accompanied by the object is then determined. Second a constraint concerning T is derived from a junction point of a Lcorner. After that T is determined using a set of constraints derived from the L-corners that contributed to the determination of R. By assembling only those L-corners the cirtain object is recognized.
This paper describes an original approach to the analysis and prediction of graylevel textures generated as equilibrium states of Gibbs/Markov random fields. This approach is physically motivated by the analogy that e...
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ISBN:
(纸本)0819404489
This paper describes an original approach to the analysis and prediction of graylevel textures generated as equilibrium states of Gibbs/Markov random fields. This approach is physically motivated by the analogy that exists between the graylevel textures and the miscibility patterns of multiphase flows. The physics of the situation is captured using miscibility matrices that are related to the co-occurrence matrices classically used for texture discrimination. Simulations are provided to motivate and illustrate our approach.
The complexity of computing 3D workspaces for joint limited redundant manipulators is examined. Different types of reachable workspace volume and reachable workspace boundary problems are defined. Each type of volume ...
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ISBN:
(纸本)0819404489
The complexity of computing 3D workspaces for joint limited redundant manipulators is examined. Different types of reachable workspace volume and reachable workspace boundary problems are defined. Each type of volume problem is at least as hard as its corresponding type of boundary problem, and each problem type is at least NP hard. New efficient and adaptive workspace point computation techniques are proposed (e.g. based on nonlinear programming) after complexity analyses of the corresponding decision problems.
The pattern spectrum describes the shape and size of structures in an n-dimensional signal. Measurement of the pattern spectrum is based on morphological operations which use a variety of structuring elements to filte...
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ISBN:
(纸本)0819404489
The pattern spectrum describes the shape and size of structures in an n-dimensional signal. Measurement of the pattern spectrum is based on morphological operations which use a variety of structuring elements to filter a signal at multiple spatial scales. This paper reports on the use of pattern spectra in the grayscale domain for classifying different textures and in the binary domain for object recognition. The advantage of morphological image processing is that it is based on highly parallel primitive operations which are amenable to large-scale implementation in real-time signal processing hardware.
In this paper we describe a system for monitoring activities in aerial images. The system uses many knowledge sources and databases to guide the interpretation process. It has an innovative control scheme for managing...
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ISBN:
(纸本)0819404489
In this paper we describe a system for monitoring activities in aerial images. The system uses many knowledge sources and databases to guide the interpretation process. It has an innovative control scheme for managing the execution of the tasks utilizing of its knowledge sources and updating of its many databases. As a result the system not only is aware of the existence and usefulness of all knowledge present in its vanous databases it also knows how to use that knowledge and the processing modules in cooperation to achieve a common goal of detecting events of interests from a set of aerial photographs. Also to overcome the difficulties of the object recognition task a model-based technique is used to detect predict verify and recognize the objects of interests in the scene.
The problem of palletizing (stacking on a pallet) randomly arriving mixed size and content parcels is an important task in most distribution warehouses. Today this task requires human interaction for a solution howeve...
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ISBN:
(纸本)0819404489
The problem of palletizing (stacking on a pallet) randomly arriving mixed size and content parcels is an important task in most distribution warehouses. Today this task requires human interaction for a solution however recently several attempts have been made to automate the solution. The purpose of this paper is to present an overview of the problem an expert system approach and an estimate of the key subproblems which have been identified which are necessary for a solution. The concepts of space filling and emptying as encountered in warehousing are briefly described. Also brief descriptions of two generations of a robotic system for mixed parcel palletizing are presented. The results with these test systems indicate that automatic parcel handling at speeds comparable to humans is feasible however further work is required to obtain a robust solution.
A robot is a powerful production tool, however, an "intelligent robot" with flexible control is often needed to acomplish complex tasks and to adapt to changes in its working enviroment. This paper describes...
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ISBN:
(纸本)0819404489
A robot is a powerful production tool, however, an "intelligent robot" with flexible control is often needed to acomplish complex tasks and to adapt to changes in its working enviroment. This paper describes the integration of machine vision with a robot to accomplish this. The system integrates an IBM 7535 industrial 7535 Industrial Robot, with four degrees of freedom, with its own programming language, AML/Entry, and a vision System from Intelledex Inc. The IBM has its own programming language AML/ENTRY, as does the Intelledex vision system, vision BASIC. The major objective of the project was to interface the controller of the IBM 7535 robot with host processor (a compatible IBM AT) to a vision system. In an operational scenario, the vision system is tasked with the responsabilities of recognizing an object and determining its location and orientation. Based on this information, the robot is able to pick up the object and transfer it to a pre-defined destination. The paper describes how the interfaces were developed.
Attributed Fuzzy Tournaments (AFT''s) are a special type of attributed fuzzy graphs which are useful to represent uncertainties inherent to many realworld problems. A new algorithm that finds the best fuzzy ma...
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ISBN:
(纸本)0819404489
Attributed Fuzzy Tournaments (AFT''s) are a special type of attributed fuzzy graphs which are useful to represent uncertainties inherent to many realworld problems. A new algorithm that finds the best fuzzy matching configuration between components of two Attributed Fuzzy Transitive Tournaments (AFTT''s) is proposed. The best fuzzy matching between two AFTT''s is the matching configuration between components of both AFTT''s such that the overall distance measure between two AFTT''s possesses the minimum value. Useful applications of the proposed algorithm can be found in scene matching where the nodes of an AFT represent the objects in the scene and the arcs represent the relationships among the objects. Uncertainties of the image are represented via fuzzy membership values associated with the nodes and arcs. An examples showing the usefulness of the algorithm in pattern matching is shown through image analysis. I.
The face recognition, one of the most important ability of intelligentvision, are discussed in this paper. A new idea of model-based processing are presented. The algorithms of face modeling, global matching and fine...
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ISBN:
(纸本)0819423068;9780819423061
The face recognition, one of the most important ability of intelligentvision, are discussed in this paper. A new idea of model-based processing are presented. The algorithms of face modeling, global matching and fine matching, and feature points extraction etc. are given. Finally, a rapid and robust scheme for human face recognition are resulted.
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