This paper presents a method for capture planning in view based 3D recognition. Views are represented by their contours, encoded into curvature functions, which are reduced into compact feature vectors by Principal Co...
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ISBN:
(纸本)9781424457953
This paper presents a method for capture planning in view based 3D recognition. Views are represented by their contours, encoded into curvature functions, which are reduced into compact feature vectors by Principal Component Analysis. These vectors are very resistant against transformations, so they can be assumed to be distributed over the surface of a sphere with the object in its center. After clustering these vectors, 3D objects are represented via Hidden Markov Models where classes are states. To recognize an object in a minimum number of steps, we propose to align candidate cluster representations and then subtracting their cluster maps to decide in which locations they differ the most. Then, a TSP is used to decide in which order these distinctive locations are visited. The proposed approach has been successfully tested with several artificial 3D objectdatabases, even though it still presents some errors in objects with strong symmetries.
Nowadays, the demand for the processing and storing of data has been growing exponentially rapid. The massive demand of these data has limited the traditional way of storing and processing data based on client/server ...
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With the development of economic system reform in China, trans-regional economy presents rapid growth trend, and requires establishing an rapid, stable trans-regional clearing system between banks. In this paper we st...
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This study presents a new comprehensive framework for semantic content extraction from raw video, storage of the extracted data and retrieval of the stored data. objects, spatial relations between objects, events and ...
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ISBN:
(纸本)9781424469208
This study presents a new comprehensive framework for semantic content extraction from raw video, storage of the extracted data and retrieval of the stored data. objects, spatial relations between objects, events and temporal relations between events, which are considered as semantic contents of the video, are extracted automatically to a certain extend with the developed approach. Extraction process is supported by manual annotation when automatic extraction is not satisfactory. The extracted information is stored in an intelligent fuzzy object-oriented database in which the database is enhanced with a fuzzy knowledge-based system. Domain specific deduction rules can be defined to derive new information about semantic contents of the video. The database is also supported by an access structure to increase retrieval efficiency. The proposed framework is capable of handling uncertain data arising from annotation process or video nature.
object-oriented database system is a superior model than relational database system, with schema evolution capacity. Although since the emergence of object-oriented database systems many schema evolution methods have ...
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Starburst is a research prototype of an extensible relational database management system that is under development at the IBM Almaden Research Center. Through extensions to Starburst, we are incorporating the advanced...
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Starburst is a research prototype of an extensible relational database management system that is under development at the IBM Almaden Research Center. Through extensions to Starburst, we are incorporating the advanced structuring and data behavior features offered by object-oriented database management systems, while retaining the significant gains in data independence and data integrity of the relational model and upward compatibility with its standard access language, SQL. Some of the advanced features supported by Starburst extensions, described in this paper, include hierarchies of user-defined types and functions, large unstructured and stniclurcd complex objects, and user-defined rules to respond to changes in the database. Note: For a complete copy of this paper, please refer to the October 1991 publication of Communications of the ACM.
In order to meet the complicated data connection between multi businesses, to meet the original business change on structure and application, to meet the multi-user management, we designed the unified database model o...
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The markup approach to represent and store large corpora of annotated textual documents is criticized for several reasons: it poses problems in expressing non-hierarchical structures, it limits the annotations in type...
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ISBN:
(纸本)9788874883691
The markup approach to represent and store large corpora of annotated textual documents is criticized for several reasons: it poses problems in expressing non-hierarchical structures, it limits the annotations in type and complexity, it makes difficult the writing of complex textual analysis programs since it requires the use of generic query languages like XQuery which are not well suited to the special need of the domain. We present a model and a language, called Manuzio, developed to be at the base of a new generation of textual document management systems which overcome the previous shortcomings. The model is an object based one, specialized for the specific domain, and has abstraction mechanisms which present some similarities with those of the objectoriented database models. The language has query facilities and allows the development of sophisticated textual analysis applications. A prototype for a system has been designed and applied to several test cases.
How to construct Web ontologies that meet applications' needs has become a key technology to enable the Semantic Web. Manual development of ontologies remains a cumbersome and time-consuming task. In real-world ap...
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We propose a treemap based interface for presentation of search results according to multiple search criteria. Different colors are used to represent the relevance of each item in the database according to the differe...
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