. "2"^^ . . . . "P\u0159ibyl, Bronislav" . . "http://www.springer.com/computer/image+processing/book/978-3-642-23686-0" . "Ghent" . "Simple Single View Scene Calibration"@en . "2"^^ . "10.1007/978-3-642-23687-7" . "12"^^ . "RIV/00216305:26230/11:PU96001" . . "2011-08-22+02:00"^^ . "Zem\u010D\u00EDk, Pavel" . . "Simple Single View Scene Calibration" . "26230" . . . . "This paper addresses automatic calibration of images, where the main goal is to extract information about objects and relations in the scene based on the information contained in the image itself. The purpose of such calibration is to enable e.g. determination of object coordinates, measurements of distances or areas between objects in the image, etc. The idea of the presented work is to detect objects in the image whose size is known, e.g. traffic signs in the presented case and exploit their relative sizes and positions in the image to perform the calibration under some assumptions about possible spatial distribution of the objects, e.g. their positioning on a plane in the presented case. The paper describes related work and the method itself, shows and discusses the results and proposes possible extensions."@en . "Springer-Verlag" . . "Simple Single View Scene Calibration"@en . "[B839FC5EE161]" . . . . "P(2B06052), P(7E08063), Z(MSM0021630528)" . . . . "Het Pand, Ghent, Belgium" . "Advanced Concepts for Intelligent Vision Systems" . "978-3-642-23686-0" . . . "RIV/00216305:26230/11:PU96001!RIV13-MSM-26230___" . . "Scene Calibration, Scene Reconstruction, Euclidean Reconstruction, Single View, Automatic Parameters Estimation, Principal Component Analysis"@en . . . "This paper addresses automatic calibration of images, where the main goal is to extract information about objects and relations in the scene based on the information contained in the image itself. The purpose of such calibration is to enable e.g. determination of object coordinates, measurements of distances or areas between objects in the image, etc. The idea of the presented work is to detect objects in the image whose size is known, e.g. traffic signs in the presented case and exploit their relative sizes and positions in the image to perform the calibration under some assumptions about possible spatial distribution of the objects, e.g. their positioning on a plane in the presented case. The paper describes related work and the method itself, shows and discusses the results and proposes possible extensions." . . . "Simple Single View Scene Calibration" . "229308" .