Comparison of 3D local and global descriptors for similarity retrieval of range data

Bayramoglu, Neslihan
Alatan, Abdullah Aydın
Recent improvements in scanning technologies such as consumer penetration of RGB-D cameras lead obtaining and managing range image databases practical. Hence, the need for describing and indexing such data arises. In this study, we focus on similarity indexing of range data among a database of range objects (range-to-range retrieval) by employing only single view depth information. We utilize feature based approaches both on local and global scales. However, the emphasis is on the local descriptors with their global representations. A comparative study with extensive experimental results is presented. In addition, we introduce a publicly available range object database which is large and has a high diversity that is suitable for similarity retrieval applications. The simulation results indicate competitive performance between local and global methods. While better complexity trade-off can be achieved with the global techniques, local methods perform better in distinguishing different parts of incomplete depth data.


Lossless Description of 3D Range Models
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The improvements in scanning technologies lead obtaining and managing range image databases. Hence, need of describing and indexing this type of data arises. Since a range model owns different properties compared to complete 3D models, we propose a method that relies on Spherical Harmonics Transform (SHT) for retrieving similar models where the query and the database both consist of only range models. Although SHT, is not a new concept in shape retrieval research, we propose to utilize it for range images b...
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Recent advances in large-scale image and video analysis have empowered the potential capabilities of visual surveillance systems. In particular, deep learning-based approaches bring in substantial benefits in solving certain computer vision problems such as fine-grained object recognition. Here, the authors mainly concentrate on classification and identification of maritime vessels and land vehicles, which are the key constituents of visual surveillance systems. Employing publicly available data sets for ma...
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Yalçın Bayramoğlu, Neslihan; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2011)
The improvements in 3D scanning technologies have led the necessity for managing range image databases. Hence, the requirement of describing and indexing this type of data arises. Up to now, rather much work is achieved on capturing, transmission and visualization; however, there is still a gap in the 3D semantic analysis between the requirements of the applications and the obtained results. In this thesis we studied 3D semantic analysis of range data. Under this broad title we address segmentation of range...
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With the recent advances in mobile technologies, new capabilities are emerging, such as mobile document image analysis. However, mobile phones are still less powerful than servers, and they have some resource limitations. One approach to overcome these limitations is performing resource-intensive processes of the application on remote servers. In mobile document image analysis, the most resource consuming process is the Optical Character Recognition (OCR) process, which is used to extract text in mobile pho...
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Citation Formats
N. Bayramoglu and A. A. Alatan, “Comparison of 3D local and global descriptors for similarity retrieval of range data,” NEUROCOMPUTING, pp. 13–27, 2016, Accessed: 00, 2020. [Online]. Available: