三维对象描述方法:概述和趋势

2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP) Pub Date : 2017-05-22 DOI:10.1109/ATSIP.2017.8075559

Jihad H'roura, A. Bekkari, D. Mammass, Ali Bouzit, A. Mansouri, Michaël Roy, Gaëtan Le Goïc

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引用次数: 4

摘要

物体识别或在不同条件下对物体的分类识别是人类视觉系统最惊人的能力之一。几十年来，计算机视觉领域的科学家们一直试图通过实现算法和为计算机提供适当的工具来重现这种能力。因此，人们提出了几种智能系统。为了在这个领域采取行动，已经提出了许多办法。在本文中，我们概述了当前3D物体识别的趋势，并描述了一些具有代表性的最新方法，突出了它们的局限性和复杂性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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3D objects descriptors methods: Overview and trends

Object recognition or object's category recognition under varying conditions is one of the most astonishing capabilities of human visual system. The scientists in computer vision have been trying for decades to reproduce this ability by implementing algorithms and providing computers with appropriate tools. Hence, several intelligent systems have been proposed. To act in this field, numerous approaches have been proposed. In this paper we present an overview of the current trend in 3D objects recognition and describe some representative state of the art methods, highlighting their limits and complexity.

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2017 International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)

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