<?xml version="1.0"?>
<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:dc="http://purl.org/dc/elements/1.1/"><rdf:Description rdf:about="https://repozitorij.uni-lj.si/IzpisGradiva.php?id=135682"><dc:title>Morphing techniques for facial images</dc:title><dc:creator>MIYALKOVSKA,	ELENA	(Avtor)
	</dc:creator><dc:creator>Šajn,	Luka	(Mentor)
	</dc:creator><dc:subject>face morphing</dc:subject><dc:subject>image transformations</dc:subject><dc:subject>cross-dissolving</dc:subject><dc:subject>image warping</dc:subject><dc:subject>mesh warping</dc:subject><dc:subject>field morphing</dc:subject><dc:description>Image morphing is an image processing technique where one image gradually transforms into another through a smooth transition over a period time. Multiple morphing techniques exist including cross-dissolving, mesh warping, energy minimization, and others. In the scope of this thesis, two morphing algorithms were discussed and implemented. The first one uses only the cross-dissolving technique. The second one uses facial landmarks auto-detection, space triangulation, warping, and cross-dissolving. A software solution in the programming language Python was prepared for morphing between source and target facial images. Using the software, we have produced some very smooth facial image transitions including morphing between the same and different faces. We have also successfully performed mood changing with the help of morphing between different facial expressions.</dc:description><dc:date>2022</dc:date><dc:date>2022-03-25 12:30:00</dc:date><dc:type>Diplomsko delo/naloga</dc:type><dc:identifier>135682</dc:identifier><dc:language>sl</dc:language></rdf:Description></rdf:RDF>
