scispace - formally typeset
Search or ask a question

Showing papers on "Object model published in 1979"


Proceedings ArticleDOI
10 Oct 1979
TL;DR: A technique that uses the relative positions and orientations of the features to determine the correspondence between features of an object model and features observed in a picture and is a robust, general-purpose way to match structures.
Abstract: A crucial step in the recognition or location of an object in an image is the proper identification of object features. If the features are not uniquely characterized by their local appearances, as is often the case in programmable assembly, the matching technique must base its decisions on the relative structure of the features. In this paper we describe a technique that uses the relative positions and orientations of the features to determine the correspondence between features of an object model and features observed in a picture. A graph is constructed in which maximal cliques (i.e., completely connected subgraphs) represent mutually consistent assignments of model features to observed features. The technique is a robust, general-purpose way to match structures. However, in practical applications its use is restricted to moderately sized graphs because the algorithm that locates maximal cliques is apparently exponential. For tasks that require the analysis of large graphs a few techniques are presented to reformulate them so that smaller graphs are sufficient.© (1979) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.

70 citations



Journal ArticleDOI
TL;DR: “Object relations theory” is a subject that has become especially associated with direct observations on preoedipal phases of the mother-child unit, and may be credited with inspiring many of the object relations studies.
Abstract: BJECT RELATIONS THEORY” is a subject that has become 0 especially associated with direct observations on preoedipal phases of the mother-child unit. As such, it brings many analysts whose impressions of this early period are derived largely from reconstructions during the treatment of adults to borderlines beyond which they have been reluctant to venture. There are the well-known difficulties in verifying memories and reconstructions about very early life, as well as in correlating them with the data of direct observation. Conversely, object relations observers find it increasingly difficult to follow the child’s development as he grows older or to crossmatch their data with inferences drawn from what analysts observe clinically. Such mutual uncertainties create a barrier which has been intensified, especially among American analysts, by the prominence of Kleinians and nonanalysts in the field of object relations. Nevertheless, a solid core of interest in child development has inevitably characterized the history of psychoanalysis, and may be credited with inspiring many of the object relations studies. Their common matrix cannot be dissolved, fed as it is by child analysis and other outgrowths

14 citations



Journal ArticleDOI
TL;DR: This paper reports on how to construct a solid object model on 3-dimensional modeling and how to evaluate the boundary of the defined model and new formulations of the boundary evaluator are offered here and compared with them.
Abstract: This paper reports on how to construct a solid object model on 3-dimensional modeling and how to evaluate the boundary of the defined model. The solid object model is constructed by half spaces, which is often called primitives, and with aid of a constructive operator. Two description ways are given by use of a set operator as a constructive one. The solid object modeled is mapped into 2-dimensional or 3-dimensional physical space in the form of graphic output, an auto-meshing for F. E. M., an NC-tape generation and so on. A boundary evaluator is regarded as carrying out mapping mentioned above. Boundary evaluators having been presented are discussed, then new formulations of the boundary evaluator are offered here and compared with them. An information of boundary evaluators having been presented is only a boundary (surface) of the defined model or only outer information. One of new evaluators has an outer, a boundary, and an inner informations of the defined model as a positive value, zero and a negative value, respectively. And its absolute value shows a distance to the defined model surface under some restrictions. These features are assured by plotting iso-contour lines of evaluators discussed. Furthermore, simple examples of NC-machining applied for by plotting result as a cutter path are shown. The results reached here give basic algolithm for computer-aided graphics and an NC-machining.

1 citations