"Epipolar geometry"의 두 판 사이의 차이

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* The linearization in epipolar geometry creates these degeneracies and numerical ill-conditioning near them.<ref name="ref_173f">[http://www1.cs.columbia.edu/~jebara/htmlpapers/SFM/node8.html Epipolar Geometry]</ref>
 
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* To calculate depth information from a pair of images we need to compute the epipolar geometry.<ref name="ref_6007">[http://homepages.inf.ed.ac.uk/rbf/CVonline/LOCAL_COPIES/OWENS/LECT10/node3.html Epipolar geometry]</ref>
 
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* We first describe properties of the epipolar geometry of two affine cameras, and its optimal computation from point correspondences.<ref name="ref_435e">[https://www.cambridge.org/core/books/multiple-view-geometry-in-computer-vision/affine-epipolar-geometry/F4D4DAE080C01DA8330A8BE038E28945 Multiple View Geometry in Computer Vision]</ref>
 
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* In this section we will deal with epipolar geometry.<ref name="ref_52f5">[https://docs.opencv.org/master/da/de9/tutorial_py_epipolar_geometry.html OpenCV: Epipolar Geometry]</ref>
 
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* The epipolar geometry then describes the relation between the two resulting views.<ref name="ref_3f33">[https://en.wikipedia.org/wiki/Epipolar_geometry Epipolar geometry]</ref>
 
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===소스===
 
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===소스===
 
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==메타데이터==
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===위키데이터===
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* ID :  [https://www.wikidata.org/wiki/Q200904 Q200904]
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===Spacy 패턴 목록===
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* [{'LOWER': 'epipolar'}, {'LEMMA': 'geometry'}]

2021년 2월 17일 (수) 00:57 기준 최신판

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말뭉치

  1. Epipolar geometry describes the geometric relationship between two camera systems.[1]
  2. In this section we will deal with epipolar geometry.[2]
  3. This paper gives a comparison of SAR imaging and camera imaging from the viewpoint of epipolar geometry.[3]
  4. The imaging model and epipolar geometry of the two sensors are analyzed in detail.[3]
  5. The standard epipolar geometry setup involves two cameras observing the same 3D point P, whose projection in each of the image planes is located at p and p’ respectively.[4]
  6. An interesting case of epipolar geometry is shown in Figure 4, which occurs when the image planes are parallel to each other.[4]
  7. The application of projective geometry to this situation results in the now popular epipolar geometry approach.[5]
  8. Due to the linearity of the above equation, the epipolar geometry approach maintains a clean elegance in its manipulations.[5]
  9. The result is that it is not possible to determine the epipolar geometry between close consecutive frames and it cannot be determined from image correspondences alone.[5]
  10. The linearization in epipolar geometry creates these degeneracies and numerical ill-conditioning near them.[5]
  11. To calculate depth information from a pair of images we need to compute the epipolar geometry.[6]
  12. We first describe properties of the epipolar geometry of two affine cameras, and its optimal computation from point correspondences.[7]
  13. The epipolar geometry then describes the relation between the two resulting views.[8]

소스

  1. ↑ Epipolar Geometry
  2. ↑ Epipolar Geometry
  3. ↑ 3.0 3.1 Epipolar geometry comparison of SAR and optical camera
  4. ↑ 4.0 4.1 Python OpenCV: Epipolar Geometry
  5. ↑ 5.0 5.1 5.2 5.3 Epipolar Geometry
  6. ↑ Epipolar geometry
  7. ↑ Multiple View Geometry in Computer Vision
  8. ↑ Epipolar geometry

메타데이터

위키데이터

Spacy 패턴 목록

  • [{'LOWER': 'epipolar'}, {'LEMMA': 'geometry'}]
원본 주소 "https://wiki.mathnt.net/index.php?title=Epipolar_geometry&oldid=51626"