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Preface

机译:前言

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摘要

Welcome to the Proceedings for the Workshop on Local Features: State of the Art, Open Problems and Performance Evaluation, held in conjunction with the European Conference on Computer Vision on October 10th 2016. Local features are at the centre of many fundamental computer vision problems. While local features have been subject of study in computer vision for almost twenty years, recent significant progress in this area has led to substantial improvements in many computer vision tasks including registration, stereo vision, motion estimation, matching, retrieval, recognition of objects and actions. With the advent of modern deep learning techniques, an area of particular interest is the development of learnable local feature descriptors. While this direction has already proved to be quite fruitful, there are still many challenges left for a variety of problem classes, including defining appropriate training sets, evaluation protocols, and benchmarks.
机译:欢迎来到当地特征讲习班的诉讼程序:最先进的艺术状态,开放问题和绩效评估,于2016年10月10日与欧洲电脑愿景会议结合举行。本地特征是许多基本计算机视觉问题的中心。虽然本地特征在电脑视觉中的研究近二十年来,但最近在这一领域的重大进展导致了许多计算机视觉任务的大量改进,包括注册,立体声视觉,运动估计,匹配,检索,对象和动作的识别。随着现代深层学习技术的出现,特定兴趣的区域是可学习本地特征描述符的开发。虽然这方向已经证明是相当丰富的,但各种问题类仍有许多挑战,包括定义适当的培训集,评估协议和基准。

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