DSpace Kolekce:http://hdl.handle.net/11025/263992024-03-29T11:35:23Z2024-03-29T11:35:23ZInpainted image quality assessment based on machine learningVoronin, V.Marchuk, V.Semenishchev, E.Maslennikov, S.Svirin, I.http://hdl.handle.net/11025/296792020-07-02T08:40:02Z2015-01-01T00:00:00ZNázev: Inpainted image quality assessment based on machine learning
Autoři: Voronin, V.; Marchuk, V.; Semenishchev, E.; Maslennikov, S.; Svirin, I.
Editoři: Skala, Václav
Abstrakt: In many cases inpainting methods introduce a blur in sharp transitions in image and image contours in the
recovery of large areas with missing pixels and often fail to recover curvy boundary edges. Quantitative metrics
of inpainting results currently do not exist and researchers use human comparisons to evaluate their
methodologies and techniques. Most objective quality assessment methods rely on a reference image, which is
often not available in inpainting applications. This paper focuses on a machine learning approach for noreference
visual quality assessment for image inpainting. Our method is based on observation that Local Binary
Patterns well describe local structural information of the image. We use a support vector regression learned on
human observer images to predict the perceived quality of inpainted images. We demonstrate how our predicted
quality value correlates with qualitative opinion in a human observer study.2015-01-01T00:00:00ZVoronin, V.Marchuk, V.Semenishchev, E.Maslennikov, S.Svirin, I.Robust hand gesture recognition from 3D dataKurmi, Vinod KJain, GarimaVenkatesh, KShttp://hdl.handle.net/11025/296782020-07-02T08:40:02Z2015-01-01T00:00:00ZNázev: Robust hand gesture recognition from 3D data
Autoři: Kurmi, Vinod K; Jain, Garima; Venkatesh, KS
Editoři: Skala, Václav
Abstrakt: In this paper, we use the output of a 3D sensor (ex. Kinect from Microsoft) to capture depth images of humans
making a set of predefined hand gestures in various body poses. Conventional approaches using Kinect data have
been constrained by the limitation of the human detector middleware that requires close conformity to a standard
near erect, legs apart, hands apart pose for the subject. Our approach also permits clutter and possible motion
in the scene background, and to a limited extent, in the foreground as well. We make an important point in this
work to emphasize that the recognition performance is considerably improved by a choice of hand gestures that
accommodate the sensor’s specific limitations. These sensor limitations include low resolution in x and y as well
as z. Hand gestures have been chosen(designed) for easy detection by seeking to detect a fingers apart, fingertip
constellation with minimum computation. without, however compromising on issues of utility or ergonomy. It is
shown that these gestures can be recognised in real time irrespective of visible band illumination levels, background
motion, foreground clutter, user body pose, gesturing speeds and user distance. The last is of course limited by the
sensor’s own range limitations. Our main contributions are the selection and design of gestures suitable for limited
range, limited resolution 3D sensors and the novel method of depth slicing used to extract hand features from the
background. This obviates the need for preliminary human detection and enables easy detection and highly reliable
and fast (30 fps) gesture classification.2015-01-01T00:00:00ZKurmi, Vinod KJain, GarimaVenkatesh, KSAnalysis of 3D mesh correspondences concerning foldoversMerz, JohannesGetto, RomanLandesberger, Tatiana vonFellner, Dieter W.http://hdl.handle.net/11025/296772020-07-02T08:40:02Z2015-01-01T00:00:00ZNázev: Analysis of 3D mesh correspondences concerning foldovers
Autoři: Merz, Johannes; Getto, Roman; Landesberger, Tatiana von; Fellner, Dieter W.
Editoři: Skala, Václav
Abstrakt: Foldovers (i.e., folding of triangles in a 3D mesh) are artifacts that cause problems for morphing. Mesh morphing
uses vertex correspondences among the source and the target mesh to define the morphing path. Although there
exist techniques for making a foldover-free mesh morphing, identification and correction of foldovers in existing
correspondences is still an unsolved issue.
This paper proposes a new technique for the identification and resolution of foldovers for mesh morphing using
predefined 3D mesh correspondences. The technique is evaluated on several different meshes with given correspondences.
The mesh examples comprise both real medical data and synthetically deformed meshes. We also
present various possible usage scenarios of the new algorithm, showing its benefit for the analysis and comparison
of mesh correspondences with respect to foldover problems.2015-01-01T00:00:00ZMerz, JohannesGetto, RomanLandesberger, Tatiana vonFellner, Dieter W.A geodesic based approach for an accurate and invariant 3D surfaces representationJribi, MajdiGhorbel, Faouzihttp://hdl.handle.net/11025/296762020-07-02T08:40:02Z2015-01-01T00:00:00ZNázev: A geodesic based approach for an accurate and invariant 3D surfaces representation
Autoři: Jribi, Majdi; Ghorbel, Faouzi
Editoři: Skala, Václav
Abstrakt: In this paper, we propose a novel 3D invariant surface representation under the 3D motion group M(3). It is
obtained by combining two main representations: the three-polar representation and the one defined by the radial
line curves from a starting point. The retained invariant points correspond to the geometrical locations of the
intersection between the two last representations. The approximation of the novel surfaces description method on
the 3D discrete meshes is studied. Its accuracy for the 3D faces description and retrieval is evaluated in the mean
of the Hausdorff shape distance.2015-01-01T00:00:00ZJribi, MajdiGhorbel, Faouzi