Hermann Klette 2011a - Revision history

Scipediacontent at 14:16, 21 January 2021

2021-01-21T14:16:56Z

Scipediacontent: Scipediacontent moved page Draft Content 205068527 to Hermann Klette 2011a

2020-09-29T07:43:29Z

Scipediacontent moved page Draft Content 205068527 to Hermann Klette 2011a

Scipediacontent: Created page with " == Abstract == The paper considers semi-global stereo matching in the context of vision-based driver assistance systems. The need for real-time performance in this field req..."

2020-09-29T07:43:27Z

Created page with " == Abstract == The paper considers semi-global stereo matching in the context of vision-based driver assistance systems. The need for real-time performance in this field req..."

New page

== Abstract ==

The paper considers semi-global stereo matching in the context of vision-based driver assistance systems. The need for real-time performance in this field requires a design change of the originally proposed method to run on current hardware. This paper proposes such a new design; the novel strategy first generates a disparity map from half-resolution input images. The result is then used as prior to restrict the disparity search space for full-resolution computation. This approach is compared to an SGM strategy as employed currently in a state-of-the-art real-time FPGA solution. Furthermore, trinocular stereo evaluation is performed on ten real-world traffic sequences with a total of 4,000 trinocular frames. An extension to the original evaluation methodology is proposed to resolve ambiguities and to incorporate disparity density in a statistically meaningful way. Evaluation results indicate that the novel SGM method is up to 40% faster when compared to the previous strategy. It returns denser disparity maps, and is also more accurate on evaluated traffic scenes.

Document type: Part of book or chapter of book

== Full document ==
<pdf>Media:Draft_Content_205068527-beopen3080-7051-document.pdf</pdf>

== Original document ==

The different versions of the original document can be found in:

* [https://link.springer.com/content/pdf/10.1007%2F978-3-642-25367-6_35.pdf https://link.springer.com/content/pdf/10.1007%2F978-3-642-25367-6_35.pdf]

* [http://link.springer.com/content/pdf/10.1007/978-3-642-25367-6_35 http://link.springer.com/content/pdf/10.1007/978-3-642-25367-6_35],[http://dx.doi.org/10.1007/978-3-642-25367-6_35 http://dx.doi.org/10.1007/978-3-642-25367-6_35] under the license http://www.springer.com/tdm

* [https://researchspace.auckland.ac.nz/handle/2292/24784 https://researchspace.auckland.ac.nz/handle/2292/24784],[https://link.springer.com/chapter/10.1007/978-3-642-25367-6_35 https://link.springer.com/chapter/10.1007/978-3-642-25367-6_35],[https://dl.acm.org/citation.cfm?id=2178034 https://dl.acm.org/citation.cfm?id=2178034],[https://rd.springer.com/chapter/10.1007/978-3-642-25367-6_35 https://rd.springer.com/chapter/10.1007/978-3-642-25367-6_35],[https://academic.microsoft.com/#/detail/1600748096 https://academic.microsoft.com/#/detail/1600748096]

@@ Line 3: / Line 3: @@
 The paper considers semi-global stereo matching in the context of vision-based driver assistance systems. The need for real-time performance in this field requires a design change of the originally proposed method to run on current hardware. This paper proposes such a new design; the novel strategy first generates a disparity map from half-resolution input images. The result is then used as prior to restrict the disparity search space for full-resolution computation. This approach is compared to an SGM strategy as employed currently in a state-of-the-art real-time FPGA solution. Furthermore, trinocular stereo evaluation is performed on ten real-world traffic sequences with a total of 4,000 trinocular frames. An extension to the original evaluation methodology is proposed to resolve ambiguities and to incorporate disparity density in a statistically meaningful way. Evaluation results indicate that the novel SGM method is up to 40% faster when compared to the previous strategy. It returns denser disparity maps, and is also more accurate on evaluated traffic scenes.
@@ Line 16: / Line 11: @@
 * [https://link.springer.com/content/pdf/10.1007%2F978-3-642-25367-6_35.pdf https://link.springer.com/content/pdf/10.1007%2F978-3-642-25367-6_35.pdf]
-* [http://link.springer.com/content/pdf/10.1007/978-3-642-25367-6_35 http://link.springer.com/content/pdf/10.1007/978-3-642-25367-6_35],[http://dx.doi.org/10.1007/978-3-642-25367-6_35 http://dx.doi.org/10.1007/978-3-642-25367-6_35] under the license http://www.springer.com/tdm
+* [http://link.springer.com/content/pdf/10.1007/978-3-642-25367-6_35 http://link.springer.com/content/pdf/10.1007/978-3-642-25367-6_35],
-* [https://researchspace.auckland.ac.nz/handle/2292/24784 https://researchspace.auckland.ac.nz/handle/2292/24784],[https://link.springer.com/chapter/10.1007/978-3-642-25367-6_35 https://link.springer.com/chapter/10.1007/978-3-642-25367-6_35],[https://dl.acm.org/citation.cfm?id=2178034 https://dl.acm.org/citation.cfm?id=2178034],[https://rd.springer.com/chapter/10.1007/978-3-642-25367-6_35 https://rd.springer.com/chapter/10.1007/978-3-642-25367-6_35],[https://academic.microsoft.com/#/detail/1600748096 https://academic.microsoft.com/#/detail/1600748096]
+* [https://researchspace.auckland.ac.nz/handle/2292/24784 https://researchspace.auckland.ac.nz/handle/2292/24784],

← Older revision	Revision as of 07:43, 29 September 2020
(No difference)