Matches in SemOpenAlex for { <https://semopenalex.org/work/W42608200> ?p ?o ?g. }
- W42608200 endingPage "111" @default.
- W42608200 startingPage "96" @default.
- W42608200 abstract "Modern applications of stereo vision, such as advanced driver assistance systems and autonomous vehicles, require highest precision when determining the location and velocity of potential obstacles. Subpixel disparity accuracy in selected image regions is therefore essential. Evaluation benchmarks for stereo correspondence algorithms, such as the popular Middlebury and KITTI frameworks, provide important reference values regarding dense matching performance, but do not sufficiently treat local sub-pixel matching accuracy. In this paper, we explore this important aspect in detail. We present a comprehensive statistical evaluation of selected state-of-the-art stereo matching approaches on an extensive dataset and establish reference values for the precision limits actually achievable in practice. For a carefully calibrated camera setup under real-world imaging conditions, a consistent error limit of 1/10 pixel is determined. We present guidelines on algorithmic choices derived from theory which turn out to be relevant to achieving this limit in practice." @default.
- W42608200 created "2016-06-24" @default.
- W42608200 creator A5048393027 @default.
- W42608200 creator A5056983496 @default.
- W42608200 creator A5068025706 @default.
- W42608200 creator A5083407909 @default.
- W42608200 date "2014-01-01" @default.
- W42608200 modified "2023-09-25" @default.
- W42608200 title "Know Your Limits: Accuracy of Long Range Stereoscopic Object Measurements in Practice" @default.
- W42608200 cites W109974757 @default.
- W42608200 cites W1557515246 @default.
- W42608200 cites W1736805210 @default.
- W42608200 cites W1997409415 @default.
- W42608200 cites W1998910452 @default.
- W42608200 cites W2000405390 @default.
- W42608200 cites W2010357867 @default.
- W42608200 cites W2024682572 @default.
- W42608200 cites W2025991977 @default.
- W42608200 cites W2035379092 @default.
- W42608200 cites W2050921210 @default.
- W42608200 cites W2065628492 @default.
- W42608200 cites W2078754535 @default.
- W42608200 cites W2097868493 @default.
- W42608200 cites W2101938307 @default.
- W42608200 cites W2104974755 @default.
- W42608200 cites W2109164068 @default.
- W42608200 cites W2117248802 @default.
- W42608200 cites W2135583584 @default.
- W42608200 cites W2150066425 @default.
- W42608200 cites W2153215387 @default.
- W42608200 cites W2157494358 @default.
- W42608200 cites W2160966187 @default.
- W42608200 cites W2168538937 @default.
- W42608200 cites W2201281642 @default.
- W42608200 cites W4229530126 @default.
- W42608200 cites W4249617845 @default.
- W42608200 cites W61928934 @default.
- W42608200 doi "https://doi.org/10.1007/978-3-319-10605-2_7" @default.
- W42608200 hasPublicationYear "2014" @default.
- W42608200 type Work @default.
- W42608200 sameAs 42608200 @default.
- W42608200 citedByCount "31" @default.
- W42608200 countsByYear W426082002015 @default.
- W42608200 countsByYear W426082002016 @default.
- W42608200 countsByYear W426082002017 @default.
- W42608200 countsByYear W426082002018 @default.
- W42608200 countsByYear W426082002019 @default.
- W42608200 countsByYear W426082002020 @default.
- W42608200 countsByYear W426082002021 @default.
- W42608200 countsByYear W426082002022 @default.
- W42608200 countsByYear W426082002023 @default.
- W42608200 crossrefType "book-chapter" @default.
- W42608200 hasAuthorship W42608200A5048393027 @default.
- W42608200 hasAuthorship W42608200A5056983496 @default.
- W42608200 hasAuthorship W42608200A5068025706 @default.
- W42608200 hasAuthorship W42608200A5083407909 @default.
- W42608200 hasBestOaLocation W426082001 @default.
- W42608200 hasConcept C105795698 @default.
- W42608200 hasConcept C115961682 @default.
- W42608200 hasConcept C126057942 @default.
- W42608200 hasConcept C134306372 @default.
- W42608200 hasConcept C151201525 @default.
- W42608200 hasConcept C153180895 @default.
- W42608200 hasConcept C154945302 @default.
- W42608200 hasConcept C159985019 @default.
- W42608200 hasConcept C160633673 @default.
- W42608200 hasConcept C165064840 @default.
- W42608200 hasConcept C192562407 @default.
- W42608200 hasConcept C204323151 @default.
- W42608200 hasConcept C2776122016 @default.
- W42608200 hasConcept C2776151529 @default.
- W42608200 hasConcept C2781238097 @default.
- W42608200 hasConcept C31451488 @default.
- W42608200 hasConcept C31972630 @default.
- W42608200 hasConcept C33923547 @default.
- W42608200 hasConcept C41008148 @default.
- W42608200 hasConcept C68516990 @default.
- W42608200 hasConcept C68537008 @default.
- W42608200 hasConceptScore W42608200C105795698 @default.
- W42608200 hasConceptScore W42608200C115961682 @default.
- W42608200 hasConceptScore W42608200C126057942 @default.
- W42608200 hasConceptScore W42608200C134306372 @default.
- W42608200 hasConceptScore W42608200C151201525 @default.
- W42608200 hasConceptScore W42608200C153180895 @default.
- W42608200 hasConceptScore W42608200C154945302 @default.
- W42608200 hasConceptScore W42608200C159985019 @default.
- W42608200 hasConceptScore W42608200C160633673 @default.
- W42608200 hasConceptScore W42608200C165064840 @default.
- W42608200 hasConceptScore W42608200C192562407 @default.
- W42608200 hasConceptScore W42608200C204323151 @default.
- W42608200 hasConceptScore W42608200C2776122016 @default.
- W42608200 hasConceptScore W42608200C2776151529 @default.
- W42608200 hasConceptScore W42608200C2781238097 @default.
- W42608200 hasConceptScore W42608200C31451488 @default.
- W42608200 hasConceptScore W42608200C31972630 @default.
- W42608200 hasConceptScore W42608200C33923547 @default.
- W42608200 hasConceptScore W42608200C41008148 @default.
- W42608200 hasConceptScore W42608200C68516990 @default.