翻訳と辞書 Words near each other ・ Geometric Arithmetic Parallel Processor ・ Geometric art ・ Geometric Brownian motion ・ Geometric calculus ・ Geometric Centre of Slovenia ・ Geometric combinatorics ・ Geometric complexity theory ・ Geometric cryptography ・ Geometric data analysis ・ Geometric Description Language ・ Geometric design ・ Geometric design of roads ・ Geometric dimensioning and tolerancing ・ Geometric distribution ・ Geometric dynamic recrystallization ・ Geometric feature learning ・ Geometric finiteness ・ Geometric flow ・ Geometric function theory ・ Geometric genus ・ Geometric graph theory ・ Geometric group action ・ Geometric group theory ・ Geometric hashing ・ Geometric integration ・ Geometric integrator ・ Geometric invariant theory ・ Geometric Langlands correspondence ・ Geometric lathe ・ Geometric lattice Dictionary Lists mini英和辞書 mini和英辞書 Webster 1913 Latin-English FOLDOC Wikipedia English ウィキペディア

翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Geometric feature learning ： ウィキペディア英語版 Geometric feature learning Geometric feature learning is a technique combining machine learning and computer vision to solve visual tasks. The main goal of this method is to find a set of representative features of geometric form to represent an object by collecting geometric features from images and learning them using efficient machine learning methods. Humans solve visual tasks and can give fast response to the environment by extracting perceptual information from what they see. Researchers simulate humans' ability of recognizing objects to solve computer vision problems. For example, M. Mata et al.(2002) 〔M. Mata and J. M. Armingol and A. De La Escalera and M. A. Salichs, "Learning visual landmarks for mobile robot navigation", In Proceedings of the 15th World congress of the International Federation of Automatic Control, 2002〕 applied feature learning techniques to the mobile robot navigation tasks in order to avoid obstacles. They used genetic algorithms for learning features and recognizing objects (figures). Geometric feature learning methods can not only solve recognition problems but also predict subsequent actions by analyzing a set of sequential input sensory images, usually some extracting features of images. Through learning, some hypothesis of the next action are given and according the probability of each hypothesis give a most probable action. This technique is widely used in the area of artificial intelligence. == Introduction == Geometric feature learning methods extract distinctive geometric features from images. Geometric features are features of objects constructed by a set of geometric elements like points, lines, curves or surfaces. These features can be corner features, edge features, Blobs, Ridges, salient points image texture and so on, which can be detected by feature detection methods. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Geometric feature learning」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.