FPGA implementation of graph cut method for real time stereo matching

Download

index.pdf

Date

2010

Author

Sağlık Özsaraç, Havva

Metadata

Show full item record

Item Usage Stats

391
views

151
downloads

The present graph cut methods cannot be used directly for real time stereo matching applications because of their recursive structure. Graph cut method is modified to change its recursive structure so that making it suitable for real time FPGA (Field Programmable Gate Array) implementation. The modified method is firstly tested by MATLAB on several data sets, and the results are compared with those of previous studies. Although the disparity results of the modified method are not better than other methods’, computation time performance is better. Secondly, the FPGA simulation is performed using real data sets. Finally, the modified method is implemented in FPGA with two PAL cameras at 25 Hz. The computation time of the implementation is 40 ms which is suitable for real time applications.

Subject Keywords

Electrical engineering., Electronics., Nuclear engineering.

URI

http://etd.lib.metu.edu.tr/upload/12612556/index.pdf
https://hdl.handle.net/11511/19975

Collections

Graduate School of Natural and Applied Sciences, Thesis

Suggestions

OpenMETU
Core

Dense depth map estimation for object segmentation in multi-view video Çığla, Cevahir; Alatan, Abdullah Aydın; Department of Electrical and Electronics Engineering (2007) In this thesis, novel approaches for dense depth field estimation and object segmentation from mono, stereo and multiple views are presented. In the first stage, a novel graph-theoretic color segmentation algorithm is proposed, in which the popular Normalized Cuts 59H[6] segmentation algorithm is improved with some modifications on its graph structure. Segmentation is obtained by the recursive partitioning of the weighted graph. The simulation results for the comparison of the proposed segmentation scheme w...
Noise reduction in time-frequency domain Kalyoncu, Özden; SÜnver, Zafer; Department of Electrical and Electronics Engineering (2007) In this thesis work, time-frequency filtering of nonstationary signals in noise using Wigner-Ville Distribution is investigated. Continuous-time, discrete-time and discrete Wigner Ville Distribution definitions, their relations, and properties are given. Time-Frequency Peak Filtering Method is presented. The effects of different parameters on the performance of the method are investigated, and the results are presented. Time-Varying Wiener Filter is presented. Using simulations it is shown that the performa...
Visual detection and tracking of moving objects Ergezer, Hamza; Leblebicioğlu, Mehmet Kemal; Department of Electrical and Electronics Engineering (2007) In this study, primary steps of a visual surveillance system are presented: moving object detection and tracking of these moving objects. Background subtraction has been performed to detect the moving objects in the video, which has been taken from a static camera. Four methods, frame differencing, running (moving) average, eigenbackground subtraction and mixture of Gaussians, have been used in the background subtraction process. After background subtraction, using some additional operations, such as morpho...
Tracker-aware detection : a theoretical and an experimental study Aslan, Murat Şamil; Saranlı, Afşar; Department of Electrical and Electronics Engineering (2009) A promising line of research attempts to bridge the gap between detector and tracker by means of considering jointly optimal parameter settings for both of these subsystems. Along this fruitful path, this thesis study focuses on the problem of detection threshold optimization in a tracker-aware manner so that a feedback from the tracker to the detector is established to maximize the overall system performance. Special emphasis is given to the optimization schemes based on two non-simulation performance pred...
Image segmentation based on variational techniques Duramaz, Alper; Ünver, Baki Zafer; Department of Electrical and Electronics Engineering (2006) Recently, solutions to the problem of image segmentation and denoising are developed based on the Mumford-Shah model. The model provides an energy functional, called the Mumford-Shah functional, which should be minimized. Since the minimization of the functional has some difficulties, approximate approaches are proposed. Two such methods are the gradient flows method and the Chan-Vese active contour method. The performance evolution in terms of speed shows that the gradient flows method converges to the bou...

Citation Formats

H. Sağlık Özsaraç, “FPGA implementation of graph cut method for real time stereo matching,” M.S. - Master of Science, Middle East Technical University, 2010.