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Könyv Indoor Location Retrieval with Depth Images using 3D Shape Features Konrad Vowinckel

Indoor Location Retrieval with Depth Images using 3D Shape Features

Szerző: Konrad Vowinckel
Nyelv: Angol
Kötés: Puha kötésű
Kiadó: Grin Publishing
Elérhetőség: Beszállítói készleten
Küldés 5-8 napon belül
14 370 Ft
Bachelor Thesis from the year 2014 in the subject Electrotechnology, grade: 1,0, Technical Universit...

Információk a könyvről

Szerző
Konrad Vowinckel
Nyelv
Angol
Kötés
Könyv - Puha kötésű
Kiadva
2014
oldal
78
EAN
9783656735472
ISBN
3656735476
Enbook ID
09031202
Kiadó
Grin Publishing
Súly
113
Méretek
148 x 210 x 5

Teljes leírás

Bachelor Thesis from the year 2014 in the subject Electrotechnology, grade: 1,0, Technical University of Munich (Media Technology), language: English, abstract: Content-based image retrieval (CBIR) for location recognition allows more precise indoor navigation than state-of-the-art methods. Using range images and matching a query image to a dataset of geo-tagged images is current research. This thesis investigates the prospects of applying 3D Shape feature detectors and descriptors to a point cloud projection of the range image. Therefor at first the keypoint detection methods Normal Aligned Radial Feature (NARF), Intrinsic Shape Signatures (ISS) and HARRIS3D detector are described, followed by the shape feature descriptors Spin Images, Signatures of Histograms of Orientations (SHOT) and Unique Shape Context (USC). Special attention is paid to the parameters. Varying radii, border estimation methods, preset filters and computing times are analysed in order to determine, how to set those parameters to obtain good results. The results exhibit the shortcomings of the state-of-the-art 3D feature algorithms, in application of indoor navigation. Finally suggestions for improvement are made.

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