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Parallel Simulated Annealing for Shape Detection
Computer Vision and Image Understanding, 1995Abstract In this paper, we describe two parallel implementations of the simulated annealing method applied to the shape detection problem. The first is a massively parallel implementation on an SIMD mesh-connected architecture; the second uses an MIMD model of computation.
BONGIOVANNI, Giancarlo +2 more
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Matching for Shape Defect Detection
1999The problem of defect detection in 2D and 3D shapes is analyzed. A shape is represented by a set of its contour, or surface, points. Mathematically, the problem is formulated as a specific matching of two sets of points, a reference one and a measured one. Modified Hausdorff distance between these two point sets is used to induce the matching. Based on
Dmitry Chetverikov, Yuri Khenokh
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Shape Detection Using Air-Drawing
2023 11th International Symposium on Digital Forensics and Security (ISDFS), 2023Computer vision is a branch of AI that enables computers and systems to extract and process meaningful information from visual inputs such as digital images and videos. Computer vision endows computers with the ability to see, observe, and understand the visual world, while AI endows them with the ability to think and reason. Computer vision has a wide
Ali, S.H., Aygun, H.
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SHAPE PARTITIONING BASED ON SYMMETRIES DETECTION
International Journal of Shape Modeling, 2008Feature 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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Rectangular Shape Detection with an Application to License Plate Detection
2013 IEEE 25th International Conference on Tools with Artificial Intelligence, 2013Rectangular shape detection has a wide range of applications, such as license plate detection, vehicle detection and building detection. In this paper, we propose a robust framework for rectangular shape detection based on the channel-scale space of RGB images. The framework consists of algorithms developed to address two issues of a shape attention (i.
Qi Li 0001, Yongyi Gong
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ASOD: Arbitrary shape object detection
Engineering Applications of Artificial Intelligence, 2011Arbitrary 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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Catheter contact force estimation from shape detection using a real-time Cosserat rod model
IEEE/RJS International Conference on Intelligent RObots and Systems, 2015This paper proposes a novel Cosserat rod model based method to estimate contact forces based on the shape analysis of the catheter. We simplify the original Cosserat rod model to achieve real-time estimation of the force magnitude and directions applied ...
Junghwan Back +5 more
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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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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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On critical point detection of digital shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1995In this paper, we present a nonlinear algorithm for critical point detection (CPD) of 2D digital shapes. The algorithm eliminates the problems arising from curvature approximation and Gaussian filtering in the existing algorithms. Based on the definition of "critical level," we establish a set of criteria for the design of an effective CPD algorithm ...
Pengfei Zhu, Paul M. Chirlian
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SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds
European Conference on Computer Vision, 2020Multi-class 3D object detection aims to localize and classify objects of multiple categories from point clouds. Due to the nature of point clouds, i.e.
Xinge Zhu +5 more
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