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File: Geometry Pdf 167286 | Multiviewgeometry6
reconstruction from multiple views chapter 6 prof daniel cremers reconstruction from multiple views fromtwoviewsto multiple view geometry multiple views preimage coimage summer2022 from multiple views frompreimagesto rankconstraints geometric interpretation themultiple ...

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                                                                               Reconstruction from
                                                                               Multiple Views
    Chapter 6                                                                  Prof. Daniel Cremers
    Reconstruction from Multiple Views
                                                                               FromTwoViewsto
    Multiple View Geometry                                                     Multiple Views
                                                                               Preimage & Coimage
    Summer2022                                                                 from Multiple Views
                                                                               FromPreimagesto
                                                                               RankConstraints
                                                                               Geometric
                                                                               Interpretation
                                                                               TheMultiple-view
                                                                               Matrix
                                                                               Relation to Epipolar
                                                                               Constraints
                                                                               Multiple-View
                                                                               Reconstruction
                                                                               Algorithms
                                                                               Multiple-View
                                                                               Reconstruction of
                                                   Prof. Daniel Cremers        Lines
                  Chair of Computer Vision and Artificial Intelligence
                           Departments of Informatics & Mathematics
                                         Technical University of Munich
                                                                               updatedApril23,2022 1/43
   Overview                                                                    Reconstruction from
                                                                               Multiple Views
                                                                               Prof. Daniel Cremers
   1 FromTwoViewstoMultipleViews
   2 Preimage&CoimagefromMultipleViews                                         FromTwoViewsto
                                                                               Multiple Views
                                                                               Preimage & Coimage
   3 FromPreimagestoRankConstraints                                            from Multiple Views
                                                                               FromPreimagesto
                                                                               RankConstraints
   4 GeometricInterpretation                                                   Geometric
                                                                               Interpretation
                                                                               TheMultiple-view
   5 TheMultiple-view Matrix                                                   Matrix
                                                                               Relation to Epipolar
                                                                               Constraints
   6 Relation to Epipolar Constraints                                          Multiple-View
                                                                               Reconstruction
                                                                               Algorithms
   7 Multiple-View Reconstruction Algorithms                                   Multiple-View
                                                                               Reconstruction of
                                                                               Lines
   8 Multiple-View Reconstruction of Lines
                                                                               updatedApril23,2022 2/43
   Multiple-View Geometry                                                      Reconstruction from
                                                                               Multiple Views
    In this section, we deal with the problem of 3D reconstruction             Prof. Daniel Cremers
    given multiple views of a static scene, either obtained
    simultaneously, or sequentially from a moving camera.
    Thekeyideaisthat the three-view scenario allows to obtain                  FromTwoViewsto
    moremeasurementstoinfer the same number of 3D                              Multiple Views
    coordinates. For example, given two views of a single 3D point,            Preimage & Coimage
                                                                               from Multiple Views
    wehavefourmeasurements(x-andy-coordinate in each                           FromPreimagesto
    view), while the three-view case provides 6 measurements per               RankConstraints
                                                                               Geometric
    point correspondence. As a consequence, the estimation of                  Interpretation
    motion and structure will generally be more constrained when               TheMultiple-view
    reverting to additional views.                                             Matrix
                                                                               Relation to Epipolar
    Thethree-view case has traditionally been addressed by the                 Constraints
                                                                               Multiple-View
    so-called trifocal tensor [Hartley ’95, Vieville ’93] which                Reconstruction
                                                                               Algorithms
    generalizes the fundamental matrix. This tensor – as the                   Multiple-View
    fundamental matrix – does not depend on the scene structure                Reconstruction of
                                                                               Lines
    but rather on the inter-frame camera motion. It captures a
    trilinear relationship between three views of the same 3D point
    or line [Liu, Huang ’86, Spetsakis, Aloimonos ’87].
                                                                               updatedApril23,2022 3/43
   Trifocal Tensor versus Multiview Matrices                                   Reconstruction from
                                                                               Multiple Views
                                                                               Prof. Daniel Cremers
    Traditionally the trilinear relations were captured by
    generalizing the concept of the Fundamental Matrix to that of a
    Trifocal Tensor. It was developed among others by [Liu and
    Huang’86], [Spetsakis, Aloimonos ’87]. The use of tensors
    waspromotedby[Vieville ’93] and [Hartley ’95]. Bilinear,                   FromTwoViewsto
                                                                               Multiple Views
    trilinear and quadrilinear constraints were formulated in [Triggs          Preimage & Coimage
    ’95]. This line of work is summarized in the books:                        from Multiple Views
                                                                               FromPreimagesto
    Faugeras and Luong, “The Geometry of Multiple Views”, 2001                 RankConstraints
                                                                               Geometric
    and                                                                        Interpretation
                                                                               TheMultiple-view
    Hartley and Zisserman, “Multiple View Geometry”, 2001, 2003.               Matrix
                                                                               Relation to Epipolar
    In the following, however, we stick with a matrix notation for the         Constraints
                                                                               Multiple-View
    multiview scenario. This approach makes use of matrices and                Reconstruction
    rank constraints on these matrices to impose the constraints               Algorithms
                                                                               Multiple-View
    from multiple views. Such rank constraints were used by many               Reconstruction of
    authors, among others in [Triggs ’95] and in [Heyden, Åström               Lines
    ’97]. This line of work is summarized in the book
    Ma, Soatto, Kosecka, Sastry, “An Invitation to 3D Vision”, 2004.
                                                                               updatedApril23,2022 4/43
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...Reconstruction from multiple views chapter prof daniel cremers fromtwoviewsto view geometry preimage coimage summer frompreimagesto rankconstraints geometric interpretation themultiple matrix relation to epipolar constraints algorithms of lines chair computer vision and articial intelligence departments informatics mathematics technical university munich updatedapril overview fromtwoviewstomultipleviews coimagefrommultipleviews frompreimagestorankconstraints geometricinterpretation in this section we deal with the problem d given a static scene either obtained simultaneously or sequentially moving camera thekeyideaisthat three scenario allows obtain moremeasurementstoinfer same number coordinates for example two single point wehavefourmeasurements x andy coordinate each while case provides measurements per correspondence as consequence estimation motion structure will generally be more constrained when reverting additional thethree has traditionally been addressed by so called trifocal...

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