RGB-D Object Retrieval with Local Binary Pattern Features
2018
Hochschulschrift
Zugriff:
106
As sensing technology continues to advance, the use of RGB-D cameras in daily life has become routine, for various purposes such as three-dimensional reconstruction, moving tracking, and human-computer interaction. The research is mainly about object retrieval of large size RGB-D images. The first step is image segmentation by background difference. Then, obtain geometric features by gathering the statistics of depth image and image gradient; obtain color features by gathering the statistics of color quantification. Since the color and depth of the object’s surface slightly changes, local binary pattern is used in order to obtain the texture features, and to meet the rotational invariance and scale invariance of the object. Therefore, better results of object-detecting can be expected because of data matching of the various features.
Titel: |
RGB-D Object Retrieval with Local Binary Pattern Features
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Autor/in / Beteiligte Person: | Tsai, Ming-Yuan ; 蔡明遠 |
Link: | |
Veröffentlichung: | 2018 |
Medientyp: | Hochschulschrift |
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