A Comparative Study of Object Classification Methods Using 3D Zernike Moment on 3D Point Clouds
نویسندگان
چکیده
منابع مشابه
Object Recognition and Classification from 3D Point Clouds
in most modern robotic applications, having accurate object recognition and classification is becoming an ubiquitous requirement. To deal with the latter, several techniques have been proposed, using either monocular computer vision, stereo vision, and even laser arrays. Recently, new laser devices introduced into the market, are able to capture the whole environment as a sequence of several hu...
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In the automatic processing of point clouds, higher level information in the form of point segments is required for classification and object detection purposes. Point cloud segmentation allows for the definition of these segments. Various algorithms have been proposed for the segmentation of point clouds. The advancement of Lidar capabilities has resulted in the increase in volumes of data cap...
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Recent hardware technologies have enabled acquisition of 3D point clouds from real world scenes in real time. A variety of interactive applications with the 3D world can be developed on top of this new technological scenario. However, a main problem that still remains is that most processing techniques for such 3D point clouds are computationally intensive, requiring optimized approaches to han...
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ژورنال
عنوان ژورنال: Traitement du Signal
سال: 2019
ISSN: 0765-0019,1958-5608
DOI: 10.18280/ts.360610