Results 271 to 280 of about 173,618 (310)
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Gems - Geometric Median Shapes
2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019We present an algorithm to compute the geometric median of shapes which is based on the extension of median to high dimensions. The median finding problem is formulated as an optimization over distances and it is solved directly using the watershed method as an optimizer.
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Russian Engineering Research, 2014
Methods of shaping the blank in cutting are considered and classified. Their advantages and disadvantages are outlined, and their use is illustrated. © 2014 Allerton Press, Inc.
Petukhov Y., Kolesov N., Yurasov S.
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Methods of shaping the blank in cutting are considered and classified. Their advantages and disadvantages are outlined, and their use is illustrated. © 2014 Allerton Press, Inc.
Petukhov Y., Kolesov N., Yurasov S.
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Geometrically Shaped 16QAM Outperforming Probabilistically Shaped 16QaM
2017 European Conference on Optical Communication (ECOC), 2017We compare the proposed geometrically-shaped(GS) 16QAM with the probabilistically-shaped(PS) 16QAM formats in both numerical simulation and experimental setup. The results show that GS-16QAM outperforms PS-16QAM.
Zhen Qu, Ivan B. Djordjevic
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Geometric Sensing of Known Planar Shapes
The International Journal of Robotics Research, 1996Industrial assembly involves sensing the pose (orientation and position) of a part. Efficient and reliable sensing strategies can be developed for an assembly task if the shape of the part is known in advance. In this article we investigate two problems of determining the pose of a polygonal part of known shape for the cases of a continuum and a finite
Yan-Bin Jia, Michael A. Erdmann
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A Geometric Framework for Rectangular Shape Detection
IEEE Transactions on Image Processing, 2014Rectangular 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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2015
In this chapter we shall study nuclear sizes and shapes by means of elastic electron-nucleus scattering. Electron scattering is particularly valuable for investigating small objects. The electromagnetic interaction between an electron and a nucleus may be very accurately calculated.
Bogdan Povh +4 more
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In this chapter we shall study nuclear sizes and shapes by means of elastic electron-nucleus scattering. Electron scattering is particularly valuable for investigating small objects. The electromagnetic interaction between an electron and a nucleus may be very accurately calculated.
Bogdan Povh +4 more
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1996
In this survey we consider geometric techniques which have been used to measure the similarity or distance between shapes, as well as to approximate shapes, or interpolate between shapes. Shape is a modality which plays a key role in many disciplines, ranging from computer vision to molecular biology.
Alt, Helmut, Guibas, Leonidas J.
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In this survey we consider geometric techniques which have been used to measure the similarity or distance between shapes, as well as to approximate shapes, or interpolate between shapes. Shape is a modality which plays a key role in many disciplines, ranging from computer vision to molecular biology.
Alt, Helmut, Guibas, Leonidas J.
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The Mathematics Teacher, 1987
Searching for commonalities and recognizing distinguishing characteristics are important problem-solving strategies. During the study of geometry, students are bombarded with the properties of numerous geometric figures and can benefit from opportunities to integrate all these ideas.
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Searching for commonalities and recognizing distinguishing characteristics are important problem-solving strategies. During the study of geometry, students are bombarded with the properties of numerous geometric figures and can benefit from opportunities to integrate all these ideas.
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Geometric Analysis of Continuous, Planar Shapes
2003We propose two differential geometric representations of planar shapes using: (i) direction functions and (ii) curvature functions, of their boundaries. Under either representation, planar shapes are treated as elements of infinite-dimensional shape spaces. Pairwise differences between the shapes are quantified using the lengths of geodesics connecting
Anuj Srivastava +3 more
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On deep-learning-based geometric filtering in aerodynamic shape optimization
Aerospace Science and Technology, 2021Jichao Li, Mengqi Zhang
exaly