Object recognition using local invariant features for robotic applications: A survey
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- 作者：Patricio Loncomilla ploncomi@ing.uchile.cl" class="auth_mail" title="E-mail the corresponding author ; Javier Ruiz-del-Solar ; jruizd@ing.uchile.cl" class="auth_mail" title="E-mail the corresponding author ; Luz Martí ; nez luz.martinez@amtc.cl" class="auth_mail" title="E-mail the corresponding author
- 关键词：Local invariant features ; Object recognition ; Local descriptors ; Local interest points
- 刊名：Pattern Recognition
- 出版年：2016
- 出版时间：December 2016
- 年：2016
- 卷：60
- 期：Complete
- 页码：499-514
- 全文大小：1229 K
文摘
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A complete analysis of object recognition methods based on local invariant features from a robotics perspective is given.
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A brief description of the main approaches reported in the literature is included.
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Methods are analyzed by considering the main requirements of robotics applications.
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Best performing object recognition systems are built using ORB–ORB and DoG–SIFT keypoint-descriptor combinations.