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Object-oriented design

About: Object-oriented design is a research topic. Over the lifetime, 5136 publications have been published within this topic receiving 144108 citations.


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Patent
06 Dec 1983
TL;DR: In this article, a computer system including a first processor and a plurality of removable interface circuits is operated by storing hardware descriptors for each interface circuit, each hardware descriptor including a name and an attribute of each component of the interface.
Abstract: A computer system including a first processor and a plurality of removable interface circuits is operated by storing hardware descriptors for each interface circuit, each hardware descriptor including a name and an attribute of each component of the interface. Software templates describing each data structure and pointers to code to be executed to build software objects corresponding to each component contained on any interface board in the system are stored, which code is executed to building such software objects. The hardware descriptors are utilized to obtain lists of components of each interface from a data base, using names of such components to obtain software templates corresponding to the named component and pointing to software that utilizes the software template to build the software object representing a function that can be performed by the component, assigns a name to that software object and entering the name and corresponding software object into the data base.

56 citations

Journal ArticleDOI
01 May 1988
TL;DR: In this paper, a constrained search method was proposed to recognize and locate objects that can vary in parameterized ways, such as two-dimensional objects with rotational, translational, or scaling degrees of freedom.
Abstract: Determining the identity and pose of oceluded objects from noisy data is a critical step in interacting intelligently with an unstructured environment. Previous work has shown that local measurements of position and surface orientation may be used in a constrained search process to solve this problem, for the case of rigid objects, either two-dimensional or three-dimensional. This paper considers the more general problem of recognizing and locating objects that can vary in parameterized ways. We consider two-dimensional objects with rotational, translational, or scaling degrees of freedom, and two-dimensional objects that undergo stretching transformations. We show that the constrained search method can be extended to handle the recognition and localization of such generalized classes of object families.

56 citations

01 Jan 2013
TL;DR: Various object recognition techniques are presented and a range of difficulties may arise during the process of object recognition are discussed in this paper.
Abstract: The modern world is enclosed with gigantic masses of digital visual information. Increase in the images has urged for the development of robust and efficient object recognition techniques. Most work reported in the literature focuses on competent techniques for object recognition and its applications. A single object can be easily detected in an image. Multiple objects in an image can be detected by using different object detectors simultaneously. The paper discusses various techniques for object recognition and a method for multiple object detection in an image. The modern world is enclosed with gigantic masses of digital visual information. To analyze and organize these devastating ocean of visual information image analysis techniques are major requisite. In particular useful would be methods that could automatically analyze the semantic contents of images or videos. The content of the image determines the significance in most of the potential uses. One important aspect of image content is the objects in the image. So there is a need for object recognition techniques. Object recognition is an important task in image processing and computer vision. It is concerned with determining the identity of an object being observed in an image from a set of known tags. Humans can recognize any object in the real world easily without any efforts; on contrary machines by itself cannot recognize objects. Algorithmic descriptions of recognition task are implemented on machines; which is an intricate task. Thus object recognition techniques need to be developed which are less complex and efficient. Many successful approaches that address the problem of general object detection use a representation of the image objects by a collection of local descriptors of the image content. Global features provide better recognition. Color and shape features can also be used. Various object recognition techniques are presented in this paper. Difficulties may arise during the process of object recognition; a range of such difficulties are discussed in this paper. The robust and efficient object recognition technique can be developed by

56 citations

Patent
12 Oct 2000
TL;DR: In this paper, a system and method for storage and management of multiple versions and context variants of documents in a multi-user environment is provided by a three-tiered content system/model for storage, and a context resolution mechanism for retrieval.
Abstract: A system and method for storage and management of multiple versions and context variants of documents in a multi-user environment is provided by a three-tiered content system/model for storage and a context resolution mechanism for retrieval. It utilizes three classes consisting of logical objects, physical objects, and components that contain administrative data associated with physical objects. The physical objects that belong to the same logical object (a collection) may be context specific variants (based on content, format, language, etc.) of each other, or related by a different criteria. The context resolution mechanism retrieves the most appropriate variant of an object through correlation of attributes of physical objects encapsulated by a particular logical object and attributes of a front-end client application. The system comprises a logical hyperlink mechanism that allows physical links between objects to be resolved at run-time. It also provides a check-in/-out control mechanism to allow simultaneous access to objects in a multi-user environment.

56 citations

Journal ArticleDOI
TL;DR: Multi-feature correspondence is used to define similarity between objects in an everyday object domain that enables the cognitive system OROC to perform creative replacement of objects and creative object composition inside a Creative Cognitive framework (CreaCogs).

56 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20231
20226
20215
20209
201915
201828