教師資料查詢 | 類別: 期刊論文 | 教師: 蔡奇謚 Chi-yi Tsai (瀏覽個人網頁)

標題:Real-Time Textureless Object Detection and Recognition Based on an Edge-Based Hierarchical Template Matching Algorithm
學年106
學期2
出版(發表)日期2018/05/31
作品名稱Real-Time Textureless Object Detection and Recognition Based on an Edge-Based Hierarchical Template Matching Algorithm
作品名稱(其他語言)
著者Chi-Yi Tsai; Chao-Chun Yu
單位
出版者
著錄名稱、卷期、頁數Journal of Applied Science and Engineering 21(2), p.229-240
摘要Textureless object recognition is a difficult task in computer vision because the object-ofinterest
(OOI) may not have enough texture information for extracting object features. To address this
problem, this paper presents a textureless object recognition method based on the existing Line2D
algorithm. The proposed method employs an edge-based hierarchical template matching method to
detect and identify a wide variety of textureless objects. Given a reference template image of an OOI, a
hierarchical edge-template database containing different 2D poses of the OOI was firstly created by
applying affine transformation with different rotating and scaling settings to the reference template
image. Next, an edge-based template matching process is performed to detect and recognize the OOI
by searching matches between the hierarchical edge-template database and the input image. Finally,
the position and angle posture of the OOI can be determined by the best match having the highest
similarity measure. Experimental results show that the proposed method not only can efficiently
recognize the type, quantity, position, and angle information of various textureless objects in the
image, but also can achieve real-time performance about 24 frames per second (fps) in processing
640x480 images. Therefore, the proposed algorithm has the potential to be used in many computer
vision applications.
關鍵字Textureless Object Detection;Textureless Object Recognition;Template Matching;Pose Identification, Line2D Algorithm
語言英文(美國)
ISSN
期刊性質國外
收錄於EI;
產學合作
通訊作者
審稿制度
國別中華民國
公開徵稿
出版型式,電子版,紙本
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