The world's first photograph was taken in 1826 using a pinhole camera, known as camera obscura. The camera obscura, the basic projection model of pinhole cameras, was already known in China more than 2500 years ago. Cameras used since this first photograph are basically following the pinhole camera principle. The quality of projected images improved due to progress in optical lenses and silver-based film, the latter one replaced today by digital technologies. Pinhole-type cameras are still the dominating brands and are also used in computer vision for understanding 3D scenes based on captured images or videos. However, different applications have pushed for designing alternative architectures of cameras. For example, in photogrammetry, cameras are installed in planes or satellites, and a continuing stream of image data can also be created by capturing images just line by line, one line at a time. As a second example, robots are required to understand scenery in full 360 degrees to be able to react to obstacles or events; a camera looking upward into a parabolic or hyperbolic mirror allows this type of omnidirectional viewing. The development of alternative camera architectures results in a need to understand related projective geometries for the purpose of camera calibration, binocular stereo, static or dynamic scene understanding. Written by leading researchers in the field, this book elucidates on these topics as well as some of the applications of alternative camera architectures.
Author(s): Kostas Daniilidis, Reinhard Klette
Series: Computational imaging and vision 33
Edition: 1
Publisher: Springer
Year: 2006
Language: English
Pages: 371
City: Dordrecht
Tags: Искусство и искусствоведение;Фотоискусство;
Contents......Page 6
Contributors......Page 8
Preface......Page 12
I Sensor Geometry......Page 14
Geometry of a Class of Catadiopric Systems......Page 15
Unifying Image Plane Liftings for Central Catadioptric and Dioptric Cameras......Page 33
Geometric Construction of the Caustic Surface of Catadioptric Non-Central Sensors......Page 51
Calibration of Line-based Panoramic Cameras......Page 67
II Motion......Page 97
On Calibration, Structure from Motion and Multi-View Geometry for Generic Camera Models......Page 98
Motion Estimation with Essential and Generalized Essential Matrices......Page 117
Segmentation of Dynamic Scenes Taken by a Moving Central Panoramic Camera......Page 134
Optical Flow Computation of Omni-Directional Images......Page 152
III Mapping......Page 172
Mobile Panoramic Mapping Using CCD-Line Camera and Laser Scanner with Integrated Position and Orientation System......Page 173
Multi-Sensor Panorama Fusion and Visualization......Page 192
Multi-Perspective Mosaics For Inspection and Visualization......Page 214
IV Navigation......Page 234
Exploiting Panoramic Vision for Bearing-Only Robot Homing......Page 235
Correspondenceless Visual Navigation Under Constrained Motion......Page 258
Navigation and Gravitation......Page 274
V Sensors and Other Modalities......Page 288
Beyond Trichromatic Imaging......Page 289
Ubiquitous and Wearable Vision Systems......Page 311
3D Optical Flow in Gated MRI Cardiac Datasets......Page 335
Imaging Through Time: The advantages of sitting still......Page 349
R......Page 368
W......Page 369
