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This book traces progress in photography since the first pinhole, or camera obscura, architecture. The authors describe innovations such as photogrammetry, and omnidirectional vision for robotic navigation. The text shows how new camera architectures create a need to master related projective geometries for calibration, binocular stereo, static or dynamic scene understanding. Written by leading researchers in the field, this book also explores applications of alternative camera architectures.
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.
This book constitutes the refereed proceedings of the 7th
International Conference on Computer Analysis of Images and
Patterns, CAIP '97, held in Kiel, Germany, in September 1997.
The 2010 edition of the European Conference on Computer Vision was held in Heraklion, Crete. The call for papers attracted an absolute record of 1,174 submissions. We describe here the selection of the accepted papers: Thirty-eight area chairs were selected coming from Europe (18), USA and Canada (16), and Asia (4). Their selection was based on the following criteria: (1) Researchers who had served at least two times as Area Chairs within the past two years at major vision conferences were excluded; (2) Researchers who served as Area Chairs at the 2010 Computer Vision and Pattern Recognition were also excluded (exception: ECCV 2012 Program Chairs); (3) Minimization of overlap introduced by Area Chairs being former student and advisors; (4) 20% of the Area Chairs had never served before in a major conference; (5) The Area Chair selection process made all possible efforts to achieve a reasonable geographic distribution between countries, thematic areas and trends in computer vision. Each Area Chair was assigned by the Program Chairs between 28-32 papers. Based on paper content, the Area Chair recommended up to seven potential reviewers per paper. Such assignment was made using all reviewers in the database including the conflicting ones. The Program Chairs manually entered the missing conflict domains of approximately 300 reviewers. Based on the recommendation of the Area Chairs, three reviewers were selected per paper (with at least one being of the top three suggestions), with 99.
This monograph, entitled Robotics in the Artificial Intelligence (AI) Era, presents the findings and recommendations of a study conducted by the Hellenic Institute of Advanced Study (HIAS).Robotics in the era of artificial intelligence will transform every aspect of society, security, and economy. Agricultural robots can assist farmers in reducing exposure to dangerous spraying pesticides, while selective harvesting for increasing yield and quality operations. Robots with advanced perception can be used for automatic inventory inspection and management. Underwater vehicles can be used for inspecting ship hulls and pipelines or ports, while aerial robots can ensure the delivery of urgent medical supplies in remote islands in the sea or mountainous rural regions. This is not science fiction, the technological revolution described above is starting to happen around the world.By presenting various applications and possibilities, this monograph should appeal to persons involved specifically with robotics, and technology development in general.
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