Wyniki wyszukiwania - BazTech

1

Two stage approach to feature recognition for computer aided process planning.

Pobożniak J.

Advances in Manufacturing Science and Technology

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2005

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Vol. 29, nr 4

33-44

EN

The paper presents the two stage approach to the feature recognition for CAPP (Computer Aided Process Planning) system. After the presentation of the basic information about the manufacturing features, the definition and the methods of feature acquisition, including the advantages and disadvantages of the particular methods, the analysis of the information flow in process planned-rented product modeling system were carried out. On the basis of these analysis, the function FT for the transformation of the CAD data into manufacturing feature-oriented product model and the function FK for the refinement of manufacturing features are developed. The latter part contains the example for the proposed approach.

PL

W pracy przedstawiono metodę dwuetapowego rozpoznawania cech technologicznych na użytek Komputerowego Wspomagania Projektowania Procesów Technologicznych (CAPP). Podstawowe informacje o cechach technologicznych, definicje oraz metody pozyskiwania cech technologicznych, wraz z ich wadami i zaletami poprzedzają analizę przepływu informacji w technologicznie zorientowanym podsystemie modelowania przedmiotów. W wyniku tej analizy wyróżniona została funkcja FT do przekształcania danych CAD na model przedmiotu zorientowany na cechy Technologiczne oraz funkcja FK do kształtowania cech technologicznych. W części końcowej przedstawiono przykład zastosowania proponowanego podejścia.

2

A feature-based approach for segmenting faces

Zaqout I., Zainuddin R., Baba S.

Machine Graphics and Vision

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2004

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Vol. 13, No. 3

249-259

EN

Human face detection has always been an important problem for face, expression and gesture recognition. Though numerous attempts have been made to detect and localize faces, these approaches have made assumptions that restrict their extension to more general cases. We identify that the key factor in a generic and robust system is that of using a large amount of image evidence, related and reinforced by model knowledge through a probabilistic framework. In this paper, we propose a feature-based algorithm for segmenting faces that is sufficiently generic and is also easily extensible to cope with more demanding variations of the imaging conditions. The algorithm detects feature points from the image and groups them into face candidates using geometric and grey level constraints. Preliminary results are provided to support the validity of the approach and demonstrate its capability to segment faces under different scales, orientations and viewpoints.

3

Feature-based Modelling System Based on Sweeping Operation Technique

Jakubowski R., Stąpor K.

Bulletin of the Polish Academy of Sciences. Technical Sciences

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2001

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vol. 49, nr 4

647-663

EN

This paper presents a feature-based modelling system (FMS) which is an integrated geometric modelling system that supports both feature-based modelling and feature recognition. The presented system is based on the shape feature language [6], [7], [8], [16], [15] and sweeping operation technique [9], [11], [13]. Each sweeping operation is a two stage process comprising: volume generation followed by a Boolean operation, whose complexity has been reduced from 3D to 2D. Both stages are internally represented by means of primitive operations, being Euler operations. Each modelled part is stored in two representations: an extended boundary representation (B-rep), and in a graph representation (Feature Volume Graph [9]).