Results 301 to 310 of about 1,732,484 (345)

SHAPE PARTITIONING BASED ON SYMMETRIES DETECTION

International Journal of Shape Modeling, 2008
Feature partitioning is one of the most frustrating problems in measurement processes. Currently the solution relies on technician's skills and experience but industries and metrological laboratories are searching for more rigorous procedures. The Geometrical Product Specification (GPS) project, whose goal is the formulation of a unique, coherent and ...
CHIABERT, Paolo, RUFFA, SUELA
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ASOD: Arbitrary shape object detection

Engineering Applications of Artificial Intelligence, 2011
Arbitrary shape object detection, which is mostly related to computer vision and image processing, deals with detecting objects from an image. In this paper, we consider the problem of detecting arbitrary shape objects as a clustering application by decomposing images into representative data points, and then performing clustering on these points.
Selim Mimaroglu, Ertunc Erdil
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Shape-based Stiction Detection

2010
In this chapter, shape-based stiction-detection methods are explained. The shape means the relationship between controller output (OP) and manipulated variable (MV) in the two-dimensional space, which forms a parallelogram when valve stiction occurs. In practice, flow rate is used as MV instead of the valve position whose data are not available in many
Manabu Kano, Yoshiyuki Yamashita, Hidekazu Kugemoto   +2 more
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Digital image shape detection

1979 International Workshop on Managing Requirements Knowledge (MARK), 1979
Determining algorithmically the presence of specified objects in test imagery is desirable in many circumstances. Typically, a reference image containing an example of the object of interest is compared with a test image. The four primary characteristics of the object used for this comparison are:
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Shape detection in images exploiting sparsity

2009 24th International Symposium on Computer and Information Sciences, 2009
Detection of different kinds of shapes, i.e. lines, circles, hyperbolas etc., in varying kinds of images arises in diverse areas such as signal and image processing, computer vision or remote sensing. The generalized Hough Transform is a traditional approach to detect a specific shape in an image by transforming the problem into a parameter space ...
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Shape based detection and retrieval

2011 International Conference on Emerging Trends in Electrical and Computer Technology, 2011
Human movement analysis is a long-studied, but still important and challenging research area in visual surveillance. It involves many fundamental problems in computer vision such as human detection, segmentation and tracking, and higher level problems such as human gesture, action and event recognition.
S. Priyadharsini, S. Devi Mahalakshmi, K. Vijayalakshmi   +2 more
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Shape detection using range data

Proceedings. 1985 IEEE International Conference on Robotics and Automation, 2005
The original algorithm of Hough transform was for detecting and finding straight lines in two dimensional images. Since then, it has been extended to detect and locate special planar curves such as circles, parabolas, etc. Recently, generalized Hough transform has been applied for recognizing and locating three dimensional objects using range data. Our
null Xueyin Lin, W. Wee
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Shape detection with limited memory

Pattern Recognition, 1991
Abstract A new approach to shape detection through the generalized Hough transform is introduced. The method is based on a limited memory implementation of the transform, that reduces its cost and makes it suitable for hardware implementation.
ALBANESI, MARIA GRAZIA, FERRETTI, MARCO
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A Geometric Framework for Rectangular Shape Detection

IEEE Transactions on Image Processing, 2014
Rectangular shape detection has a wide range of applications, such as license plate detection, vehicle detection and building detection. In this paper, we propose a geometric framework for rectangular shape detection based on the channelscale space of RGB images.
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Computer Vision: Shape Detection

1992
The answer to this question is that automation can never achieve its full potential without the aid of artificial sensory perception and of the five senses, vision is perhaps the most important. Repeated visual inspection tasks whether industrial or academic, are often tedious and labour intensive but nonetheless require specialist skill and careful ...
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