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Kristian Ambrosch

dblp:29/406 · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 2013
—ORCID · none

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

Artificial intelligence and machine learning · 3 · 3 first-authorSystems, architecture and hardware · 1Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

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 architecture, parallel and distributed computing, and storage systems
1 paper
Hardware accelerators and domain-specific architectures · 100%
Computer graphics and multimedia
1 paper
Image and video processing · 100%

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

TopicWeightPapersLastEvidence papers
Hardware accelerators and domain-specific architectures › vision accelerator
stereo vision accelerator
0.112007
Hardware implementation of an SAD based stereo vision algorithm · CVPR 2007
Image and video processing
stereo vision
0.012007
Hardware implementation of an SAD based stereo vision algorithm · CVPR 2007

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

sum of absolute differences · 0.1pipelining · 0.1
YearPublicationVenuePosition
2013 The current and field regulation system of the MedAustron Ion-Beam accelerator
abstract
Particle Accelerators have always been a driving force in the development of novel approaches in power converter regulation. The combination of high demands regarding precision and dynamics enforce the deployment of various power converters families, while the resulting complexity in the overlying accelerator control system has to be kept at a minimum. Therefore, we propose a novel regulation system that is flexible enough to cover all DC, waveform driven and pulsed power converters of the MedAustron Ion-Beam accelerator, while offering a transparent interface to the accelerator control system.
Philippe Fraboulet, Kristian Ambrosch, Ivan De Cesaris, Andre Beuret
IECON2
2011 Corrigendum to "Accurate hardware-based stereo vision" [Computer Vision and Image Understanding 114 (2010) 1303-1316
Kristian Ambrosch, Wilfried Kubinger
Comput. Vis. Image Underst.1
2010 Accurate hardware-based stereo vision
Kristian Ambrosch, Wilfried Kubinger
Comput. Vis. Image Underst.1
2007 Hardware implementation of an SAD based stereo vision algorithm
abstract
This paper presents the hardware implementation of a stereo vision core algorithm, that runs in real-time and is targeted at automotive applications. The algorithm is based on the sum of absolute differences (SAD) and computes the disparity map using 320 times 240 input images with a maximum disparity of 100 pixels. The hardware operates at a frequency of 65 MHz and achieves a frame rate of 425 fps by calculating the data highly parallel and pipelined. Thus an implemented and basically optimized software solution, running on an Intel Pentium 4 with 3 GHz clock frequency is 166 times outperformed.
Kristian Ambrosch, Wilfried Kubinger, Martin Humenberger, Andreas Steininger
CVPR1