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Contents                                                                                xix


                  13.3 Light fields and Lumigraphs .......................... 551
                       13.3.1 Unstructured Lumigraph ........................ 554
                       13.3.2 Surface light fields ........................... 555
                       13.3.3 Application: Concentric mosaics .................... 556
                  13.4 Environment mattes ............................... 556
                       13.4.1 Higher-dimensional light fields ..................... 558
                       13.4.2 The modeling to rendering continuum ................. 559
                  13.5 Video-based rendering ............................. 560
                       13.5.1 Video-based animation ......................... 560
                       13.5.2 Video textures ............................. 561
                       13.5.3 Application: Animating pictures .................... 564
                       13.5.4 3D Video ................................ 564
                       13.5.5 Application: Video-based walkthroughs ................ 566
                  13.6 Additional reading ............................... 569
                  13.7 Exercises .................................... 570

               14 Recognition                                                         575
                  14.1 Object detection ................................. 578
                       14.1.1 Face detection ............................. 578
                       14.1.2 Pedestrian detection .......................... 585
                  14.2 Face recognition ................................. 588
                       14.2.1 Eigenfaces ............................... 589
                       14.2.2 Active appearance and 3D shape models ................ 596
                       14.2.3 Application: Personal photo collections ................ 601
                  14.3 Instance recognition ............................... 602
                       14.3.1 Geometric alignment .......................... 603
                       14.3.2 Large databases ............................. 604
                       14.3.3 Application: Location recognition ................... 609
                  14.4 Category recognition .............................. 611
                       14.4.1 Bag of words .............................. 612
                       14.4.2 Part-based models ........................... 615
                       14.4.3 Recognition with segmentation ..................... 620
                       14.4.4 Application: Intelligent photo editing ................. 621
                  14.5 Context and scene understanding ........................ 625
                       14.5.1 Learning and large image collections ................. 627
                       14.5.2 Application: Image search ....................... 630
                  14.6 Recognition databases and test sets ....................... 631
                  14.7 Additional reading ............................... 631
                  14.8 Exercises .................................... 637

               15 Conclusion                                                          641

               A Linear algebra and numerical techniques                              645
                  A.1 Matrix decompositions ............................. 646
                       A.1.1 Singular value decomposition ..................... 646
                       A.1.2 Eigenvalue decomposition ....................... 647
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