Lossless Description of 3D Range Models

Date

2012-01-26

Author

Bayramoglu, Neslihan
Alatan, Abdullah Aydın

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

25
views

0
downloads

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 by representing the models in a world seen from the camera. The difference and advantage of our algorithm is being information lossless. That is the available shape information is completely included in obtaining the descriptor whereas other mesh retrieval applications utilizing SHT "approximates" the shape that leads information loss. The descriptor is invariant to scale and rotations about z-axis. Proposed method is tested on a large database having high diversity. Performance of the proposed method is superior to the performance of the D2 distribution.

Subject Keywords

Range image, Similarity retrieval, Description, Spherical harmonics transform

URI

https://hdl.handle.net/11511/41244

DOI

https://doi.org/10.1117/12.910481

Collections

Department of Electrical and Electronics Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

Comparison of 3D local and global descriptors for similarity retrieval of range data Bayramoglu, Neslihan; Alatan, Abdullah Aydın (2016-04-05) 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 the...
Range data recognition: segmentation, matching, and similarity retrieval 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...
Camera electronics and image enhancement software for infrared detector arrays Küçükkömürler, Alper; Akın, Tayfun; Department of Environmental Engineering (2012) This thesis aims to design and develop camera electronics and image enhancement software for infrared detector arrays. It first discusses the camera electronics suitable for infrared detector arrays, then it concentrates on image enhancement software that are implemented including defective pixel correction, contrast enhancement, noise reduction and pseudo coloring. After that, testing and results of the implemented algorithms were presented. Camera electronics and circuit operation frequency are selected c...
Metadata extraction from text in soccer domain Göktürk, Özkan; Çiçekli, Fehime Nihan; Department of Computer Engineering (2008) Video databases and content based retrieval in these databases have become popular with the improvements in technology. Metadata extraction techniques are used for providing data to video content. One popular metadata extraction technique for mul- timedia is information extraction from text. For some domains, it is possible to nd accompanying text with the video, such as soccer domain, movie domain and news domain. In this thesis, we present an approach of metadata extraction from match reports for soccer d...
Spatial 3D local descriptors for object recognition in RGB-D images Loğoğlu, K. Berker; Temizel, Alptekin; Kalkan, Sinan; Department of Information Systems (2016) Introduction of the affordable but relatively high resolution color and depth synchronized RGB-D sensors, along with the efforts on open-source point-cloud processing tools boosted research in both computer vision and robotics. One of the key areas which have drawn particular attention is object recognition since it is one of the crucial steps for various applications. In this thesis, two spatially enhanced local 3D descriptors are proposed for object recognition tasks: Histograms of Spatial Concentric Surf...

Citation Formats

N. Bayramoglu and A. A. Alatan, “Lossless Description of 3D Range Models,” 2012, vol. 8305, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/41244.