NDLTD Global ETD Search
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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

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Showing 11 to 12 of 12 (0.026 seconds)

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11

Real-Time Image Segmentation for Augmented Reality by Combiningmulti-Channel Thresholds. / Bild och video segmentering genom fler kanals tröskling och fusionering.

poole, alexander January 2017 (has links)
Extracting foreground objects from an image is a hot research topic. Doing thisfor high quality real world images in real-time on limited hardware such as asmart phone, is a demanding task. This master thesis shows how this problemcan be addressed using Otsu’s method together with Gaussian probability dis-tributions to create classifiers in different colour channels. We also show howclassifiers can be combined resulting in higher accuracy than using only the indi-vidual classifiers. We also propose using inter-class variance together with imagevariance to estimate classifier quality.A data set was produced to evaluate performance. The data set featuresreal-world images captured by a smart phone and objects of varying complex-ity against plain backgrounds that can be found in a typical office or urban space.
problem
solving
computer
vision
segmentation
fusion
augmented
reality
real
time
otsu
method
gaussian
hsv
pca
rgb
Elektroteknik och elektronik
12

Detekce částí obličeje v termografickém spektru / Detection of face parts in the thermographic spectrum

Šujan, Miroslav January 2011 (has links)
Master´s thesis deals with current problems of face detection and its parts in the infrared thermographic spectrum. Most previously published literature deals with the detection in the visible spectrum, making the thermographic detection range an interesting alternative. The work deals with the processing of image signals, images and faces in thermographic spectrum, selected methods of face detection and its parts and also deals with practical system design for detecting facial parts in this spectrum and its subsequent testing.

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