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High precision ground truth data is a very important factor for the development and evaluation of computer vision algorithms and especially for advanced driver assistance systems. Unfortunately, some types of data, like accurate optical flow and depth as well as pixel-wise semantic annotations are very difficult to obtain. | High precision ground truth data is a very important factor for the development and evaluation of computer vision algorithms and especially for advanced driver assistance systems. Unfortunately, some types of data, like accurate optical flow and depth as well as pixel-wise semantic annotations are very difficult to obtain. | ||
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* [http://ar.in.tum.de/pub/haltakov2013gcpr/haltakov2013gcpr.pdf http://ar.in.tum.de/pub/haltakov2013gcpr/haltakov2013gcpr.pdf] | * [http://ar.in.tum.de/pub/haltakov2013gcpr/haltakov2013gcpr.pdf http://ar.in.tum.de/pub/haltakov2013gcpr/haltakov2013gcpr.pdf] | ||
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| + | * [http://campar.in.tum.de/pub/haltakov2013gcpr/haltakov2013gcpr.pdf http://campar.in.tum.de/pub/haltakov2013gcpr/haltakov2013gcpr.pdf], | ||
| + | : [https://dblp.uni-trier.de/db/conf/dagm/gcpr2013.html#HaltakovUI13 https://dblp.uni-trier.de/db/conf/dagm/gcpr2013.html#HaltakovUI13], | ||
| + | : [https://link.springer.com/10.1007/978-3-642-40602-7_35 https://link.springer.com/10.1007/978-3-642-40602-7_35], | ||
| + | : [http://far.in.tum.de/pub/haltakov2013gcpr/haltakov2013gcpr.pdf http://far.in.tum.de/pub/haltakov2013gcpr/haltakov2013gcpr.pdf], | ||
| + | : [https://www.scipedia.com/public/Haltakov_et_al_2013a https://www.scipedia.com/public/Haltakov_et_al_2013a], | ||
| + | : [https://doi.org/10.1007/978-3-642-40602-7_35 https://doi.org/10.1007/978-3-642-40602-7_35], | ||
| + | : [https://rd.springer.com/chapter/10.1007/978-3-642-40602-7_35 https://rd.springer.com/chapter/10.1007/978-3-642-40602-7_35], | ||
| + | : [https://academic.microsoft.com/#/detail/141900914 https://academic.microsoft.com/#/detail/141900914] | ||
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| + | * [http://link.springer.com/content/pdf/10.1007/978-3-642-40602-7_35 http://link.springer.com/content/pdf/10.1007/978-3-642-40602-7_35], | ||
| + | : [http://dx.doi.org/10.1007/978-3-642-40602-7_35 http://dx.doi.org/10.1007/978-3-642-40602-7_35] | ||
Latest revision as of 17:03, 21 January 2021
Abstract
High precision ground truth data is a very important factor for the development and evaluation of computer vision algorithms and especially for advanced driver assistance systems. Unfortunately, some types of data, like accurate optical flow and depth as well as pixel-wise semantic annotations are very difficult to obtain.
Original document
The different versions of the original document can be found in:
- https://dblp.uni-trier.de/db/conf/dagm/gcpr2013.html#HaltakovUI13,
- https://link.springer.com/10.1007/978-3-642-40602-7_35,
- http://far.in.tum.de/pub/haltakov2013gcpr/haltakov2013gcpr.pdf,
- https://www.scipedia.com/public/Haltakov_et_al_2013a,
- https://doi.org/10.1007/978-3-642-40602-7_35,
- https://rd.springer.com/chapter/10.1007/978-3-642-40602-7_35,
- https://academic.microsoft.com/#/detail/141900914
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Document information
Published on 01/01/2013
Volume 2013, 2013
DOI: 10.1007/978-3-642-40602-7_35
Licence: CC BY-NC-SA license
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