Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Tobi Vaudrey"'
Publikováno v:
Pattern Recognition. 44:2034-2046
The intensity (grey value) consistency of image pixels in a sequence or stereo camera setup is of central importance to numerous computer vision applications. Most stereo matching and optical flow algorithms minimise an energy function composed of a
Publikováno v:
International Journal of Pattern Recognition and Artificial Intelligence. 25:253-272
A significant component of driver assistance systems (DAS) is lane detection, and has been studied since the 1990s. However, improving and generalizing lane detection solutions proved to be a challenging task until recently. A (physical) lane is defi
Publikováno v:
International Journal of Computer Vision. 95:29-51
Building upon recent developments in optical flow and stereo matching estimation, we propose a variational framework for the estimation of stereoscopic scene flow, i.e., the motion of points in the three-dimensional world from stereo image sequences.
Publikováno v:
Image and Video Technology ISBN: 9783642538414
PSIVT
PSIVT
In 3DTV research, virtual view synthesis is a key component to the technology. Depth-image-based-rendering (DIBR) is an important method to realize virtual view synthesis. However, DIBR always results in hole problems where the depth and colour value
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::404dce8ec65366ed6b37c6c151c10836
https://doi.org/10.1007/978-3-642-53842-1_15
https://doi.org/10.1007/978-3-642-53842-1_15
Publikováno v:
Computer Vision – ACCV 2010 Workshops ISBN: 9783642228186
ACCV Workshops (2)
ACCV Workshops (2)
The paper evaluates three categories of similarity measures: ordering-based (census), gradient-based, and illumination-based cost functions. The performance of those functions is evaluated especially with respect to illumination changes using two dif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7e4a5713757f7c33d3931c8dd11a002
https://doi.org/10.1007/978-3-642-22819-3_25
https://doi.org/10.1007/978-3-642-22819-3_25
Autor:
Tobi Vaudrey, Simon Hermann
Publikováno v:
2010 25th International Conference of Image and Vision Computing New Zealand.
Using gradient information for a pixel-based cost function for stereo matching has lacked adequate attention in the literature. This paper provides experimental evidence to show that the gradient as a data descriptor outperforms other pixel-based fun
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783642115769
ArtsIT
ArtsIT
Lane detection and tracking is a significant component of vision-based driver assistance systems (DAS). Low-level image processing is the first step in such a component. This paper suggests three useful techniques for low-level image processing in la
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::527ea753346686824c5538cfe4c8448c
https://doi.org/10.1007/978-3-642-11577-6_24
https://doi.org/10.1007/978-3-642-11577-6_24
Autor:
Rateesh Kalarot, Tariq Khan, Jurgen Wiest, Waqar Khan, Khurram Jawed, Sandino Morales, Tobi Vaudrey, Sathiamoorthy Manoharan, Reinhard Klette, John Morris, Ralf Haeusler, Ruyi Jiang
Publikováno v:
2009 24th International Conference Image and Vision Computing New Zealand.
The Environment Perception and Driver Assistance (.enpeda..) project searches for solutions for vision-based driver assistance systems (DAS) which are currently starting to be active safety components of cars (e.g., lane departure warning, blind spot
Publikováno v:
2009 IEEE Intelligent Vehicles Symposium.
This paper presents an approach to test stereo algorithms against long stereo sequences (say, 100+ image pairs). Stereo sequences of this length have not been quantitatively evaluated in the past, even though they are the input data of a vision-based
Publikováno v:
AI 2009: Advances in Artificial Intelligence ISBN: 9783642104381
Australasian Conference on Artificial Intelligence
Australasian Conference on Artificial Intelligence
Disparity map generation is a significant component of vision-based driver assistance systems. This paper describes an efficient implementation of a belief propagation algorithm on a graphics card (GPU) using CUDA (Compute Uniform Device Architecture
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6c8f80f2d624924ae07b465d80e0cf9
https://doi.org/10.1007/978-3-642-10439-8_19
https://doi.org/10.1007/978-3-642-10439-8_19