Inlämning av Examensarbete / Submission of Thesis

Venkata Raja Vamsi Sankar Veguru; Raghavendra Surampally , pp. 29. ING/School of Engineering, 2011.

The work

Författare / Author: Venkata Raja Vamsi Sankar Veguru, Raghavendra Surampally
Titel / Title: Navigation in collection of Photos
Abstrakt Abstract:

We present a methodology to navigate viewing of a city block or any realistic outdoor structure by collection of images. The methodology implement intuitive navigation commands like as left, right, forward or backward to change the viewing position. In the thesis we used a collection of images from Gräsvik campus of Blekinge Institute of Technology and two commands of left and right were evaluated.
The method is based on finding the camera position of each image in the collection. These positions have a relative distance to each other as far as no other information such as calibration data is used. For left and right navigation, two similar images to the image of the view point are found by searching for the two most correlated ones among collection of all images. Some of correspondent points of the three images (the view point image and the two most correlated images in the collection) are found by scale invariant feature transform (SIFT) method. Using the correspondent points between each two image a fundamental matrix, rotation, translation and camera positions are calculated. We used random sample consensus (RANSAC) method in calculation of the fundamental matrix which excludes the outliers of correspondent point in favor of obtaining a more robust result.
The proposed algorithm is tested on large variety of images which are taken from the BTH gräsvik campus theme where all these images are varying in similarity. The obtained results from a GUI window are displayed with brief explanation.

Ämnesord / Subject: Signalbehandling - Signal Processing
Signalbehandling - Signal Processing
Signalbehandling - Signal Processing
Nyckelord / Keywords: SIFT, RANSAC, Fundamental Matrix, Navigation, Automatic Image Similarity Measure, 3D Controls

Publication info

Dokument id / Document id: houn-8fucub
Program:/ Programme Magisterprogram i Elektroteknik / Master of Science in Electrical Engineering
Registreringsdatum / Date of registration: 04/12/2011
Uppsatstyp / Type of thesis: Masterarbete/Master's Thesis (120 credits)


Handledare / Supervisor: Dr. Siamak Khatibi
Examinator / Examiner: Dr. Siamak Khatibi
Organisation / Organisation: Blekinge Institute of Technology
Institution / School: ING/School of Engineering

+46 455 38 50 00

Files & Access

Bifogad uppsats fil(er) / Files attached: msee.pdf (1667 kB, öppnas i nytt fönster)