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Türker Yilmaz

dblp:14/4516 · DBLP profile ↗
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4ranked-venue papers
1as first author
0since 2021 · last 2018
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 3 · 1 first-authorComputer networks · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Rendering · 50% Image and video processing · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing › image representation
multiresolution representation
0.012002
Stereoscopic View-Dependent Visualization of Terrain Height Fields · IEEE Trans. Vis. Comput. Graph. 2002
Rendering
view-dependent rendering
0.012002
Stereoscopic View-Dependent Visualization of Terrain Height Fields · IEEE Trans. Vis. Comput. Graph. 2002

Methods — techniques the papers use, named apart from their topics

view frustum culling · 0.0stereo pair construction · 0.0morphing · 0.0
YearPublicationVenuePosition
2018 Energy-efficient modulation and physical layer design for low terahertz band communication channel in 5G femtocell Internet of Things
Nabil Khalid, Türker Yilmaz, Özgür B. Akan
Ad Hoc Networks2
2010 Emergency crowd simulation for outdoor environments
Oguzcan Oguz, Ates Akaydin, Türker Yilmaz, Ugur Güdükbay
Comput. Graph.3
2007 Conservative occlusion culling for urban visualization using a slice-wise data structure
Türker Yilmaz, Ugur Güdükbay
Graph. Model.1
2002 Stereoscopic View-Dependent Visualization of Terrain Height Fields
abstract
Visualization of large geometric environments has always been an important problem of computer graphics. We present a framework for the stereoscopic view-dependent visualization of large scale terrain models. We use a quadtree based multiresolution representation for the terrain data. This structure is queried to obtain the view-dependent approximations of the terrain model at different levels of detail. In order not to lose depth information, which is crucial for the stereoscopic visualization, we make use of a different simplification criterion, namely, distance-based angular error threshold. We also present an algorithm for the construction of stereo pairs in order to speed up the view-dependent stereoscopic visualization. The approach we use is the simultaneous generation of the triangles for two stereo images using a single draw-list so that the view frustum culling and vertex activation is done only once for each frame. The cracking problem is solved using the dependency information stored for each vertex. We eliminate the popping artifacts that can occur while switching between different resolutions of the data using morphing. We implemented the proposed algorithms on personal computers and graphics workstations. Performance experiments show that the second eye image can be produced approximately 45 percent faster than drawing the two images separately and a smooth stereoscopic visualization can be achieved at interactive frame rates using continuous multiresolution representation of height fields.
Ugur Güdükbay, Türker Yilmaz
IEEE Trans. Vis. Comput. Graph.2