An object recall system based on 3D vision techniques

碩士 === 銘傳大學 === 資訊傳播工程學系碩士班 === 103 === This study presents a 3D vision based system which is used to assist users for recalling household objects placement to enhance the convenience of the people in their daily lives. To achieve the aim of the system, we propose to integrate three procedures of tr...

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Bibliographic Details
Main Authors: Chu-Cheng Huang, 黃竹政
Other Authors: Chin-Pan Huang
Format: Others
Language:zh-TW
Published: 2015
Online Access:http://ndltd.ncl.edu.tw/handle/36430369618181704878
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spelling ndltd-TW-103MCU056760112016-12-19T04:14:49Z http://ndltd.ncl.edu.tw/handle/36430369618181704878 An object recall system based on 3D vision techniques 以3D視覺為基礎的物件回想系統 Chu-Cheng Huang 黃竹政 碩士 銘傳大學 資訊傳播工程學系碩士班 103 This study presents a 3D vision based system which is used to assist users for recalling household objects placement to enhance the convenience of the people in their daily lives. To achieve the aim of the system, we propose to integrate three procedures of tracking, segmentation, and recognition. First, utilize the depth camera (Kinect) to track the user''s hands and apply the skin detect scheme to determine whether the user is fetching object. Then employ the 3D visual information of the depth camera to segment and position the object and remove the unwanted information at the same time. Finally, use the segmented test object to match the reference household objects in the database to achieve recognition purpose. Experimental results have demonstrated effectiveness and promising performance of the proposed method. Chin-Pan Huang 黃金本 2015 學位論文 ; thesis 56 zh-TW
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language zh-TW
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description 碩士 === 銘傳大學 === 資訊傳播工程學系碩士班 === 103 === This study presents a 3D vision based system which is used to assist users for recalling household objects placement to enhance the convenience of the people in their daily lives. To achieve the aim of the system, we propose to integrate three procedures of tracking, segmentation, and recognition. First, utilize the depth camera (Kinect) to track the user''s hands and apply the skin detect scheme to determine whether the user is fetching object. Then employ the 3D visual information of the depth camera to segment and position the object and remove the unwanted information at the same time. Finally, use the segmented test object to match the reference household objects in the database to achieve recognition purpose. Experimental results have demonstrated effectiveness and promising performance of the proposed method.
author2 Chin-Pan Huang
author_facet Chin-Pan Huang
Chu-Cheng Huang
黃竹政
author Chu-Cheng Huang
黃竹政
spellingShingle Chu-Cheng Huang
黃竹政
An object recall system based on 3D vision techniques
author_sort Chu-Cheng Huang
title An object recall system based on 3D vision techniques
title_short An object recall system based on 3D vision techniques
title_full An object recall system based on 3D vision techniques
title_fullStr An object recall system based on 3D vision techniques
title_full_unstemmed An object recall system based on 3D vision techniques
title_sort object recall system based on 3d vision techniques
publishDate 2015
url http://ndltd.ncl.edu.tw/handle/36430369618181704878
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