M. Grossberg and S. Nayar. A general imaging model and a method for finding its parameters. In Proc. 8th Int. Conf. on Computer Vision, Vancouver, Canada, volume 2, pages 108--115, 2001.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....was already done in the field of epipolar lines in concentric and polycentric mosaics [27] Recently, an increasing attention was paid to non central cameras. Besides works summarizing the current non central methods [2, 5, 51] papers describing possible general imaging models were presented [48, 20]. It has been shown in [34, 41] that the light rays in some non central cameras lie on dou5 direction principal viewing baseline d 1 g j g 2 1 2 b a g g j (a) b) Figure 4: a) Conventional stereo pair with two central cameras gives disparity in principal viewing direction but there ....

M. Grossberg and S. K. Nayar. A general imaging model and a method for finding its parameters. In J. Little and D. Lowe, editors, ICCV'01: Proc. Eighth IEEE International Conference on Computer Vision, volume 2, pages 108--115, Los Alamitos, CA, USA, July 2001. IEEE Computer Society.

.... We will use the term polydioptric camera that was introduced in [3] to denote a generalized camera that captures a multi perspective subset of the space of light rays (dioptric: assisting vision by refracting and focusing light) There are many ways to model such a generalized camera (e.g. [4, 5, 6]) we choose to model a camera as a filter that models the imaging acquisition process and a sampling pattern that models the sensor geometry and distribution. Every camera corresponds to such a filter sampling pattern pair in light ray space, thus the question of camera design can be rephrased ....

M. D. Grossberg and S. K. Nayar, "A general imaging model and a method for finding its parameters," in Proc. International Conference on Computer Vision, 2001, pp. 108--115.

.... onto the surface (single or multiple lenses, or tubes as in compound eyes) A theoretical model for a camera that captures the plenoptic function in some part of the space is a surface S that has at every point a pinhole camera (for other possible parameterizations for generalized cameras see [21, 10, 17]) We call the actual implementation of this theoretical concept a polydioptric camera. A plenoptic camera has been proposed in [2] but since no physical device can capture the true time varying plenoptic function, we prefer the term polydioptric to emphasize the difference between the ....

M. D. Grossberg and S. K. Nayar. A general imaging model and a method for finding its parameters. In Proc. International Conference on Computer Vision, pages 108--115, 2001.

....had been proposed in [2] but since no physical device can capture the true time varying plenoptic function, we prefer the term polydioptric to emphasize the difference between the theoretical concept and the implementation. eterization for these general cameras has been introduced recently in [13]. Standard single pinhole cameras capture only one ray from each point in space, and from this ray at different times the structure and motion must be estimated. This makes estimation of the viewing geometry a non linear problem. The additional information in the polydioptric camera (multiple ....

M. D. Grossberg and S. K. Nayar. A general imaging model and a method for finding its parameters. In Proc. International Conference on Computer Vision, July 2001.

....employed in a photographic technique called Integral Photography that was described by G.Lippmann and H.E. Ives at the beginning of the 20th century [23] and a possible implementation was presented in [2] A theoretical parameterization for these general cameras has been introduced recently in [18]. We call this camera a polydioptric camera . Standard single pinhole cameras capture only one ray from each point in space, and from this ray at different times the structure and motion must be estimated. This makes estimation of the viewing geometry a non linear problem. The additional ....

M. D. Grossberg and S. K. Nayar. A general imaging model and a method for finding its parameters. In Proc. International Conference on Computer Vision, 2001. 18

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M. Grossberg and S. Nayar. A general imaging model and a method for finding its parameters. In Proc. 8th Int. Conf. on Computer Vision, Vancouver, Canada, volume 2, pages 108--115, 2001.

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Michael Grossberg and Shree Nayar, "A general imaging model and a method for finding its parameters," in International Conference on Computer Vision, 2001, pp. 108--115.

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M. Grossberg and S. Nayar, A General Imaging Model and a Method for Finding its Parameters, IEEE International Conference on Computer Vision, Volume 2, pp. 108-115, 2001.

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M. Grossberg and S. Nayar, A General Imaging Model and a Method for Finding its Parameters, IEEE International Conference on Computer Vision, Volume 2, pp. 108-115, 2001.

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Micheal D Grossberg and Shree Nayar. A general imaging model and a method for finding its parameters. In Proc. International Conference on Computer Vision, volume II, pages 108--115, 2001.

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M. D. Grossberg and S. K. Nayar. A general imaging model and a method for finding its parameters. In Proc. International Conference on Computer Vision, pages 108--115, 2001.

No context found.

M. D. Grossberg and S. K. Nayar. A general imaging model and a method for finding its parameters. In Proc. International Conference on Computer Vision, pages 108--115, 2001.

No context found.

M. D. Grossberg and S. K. Nayar. A general imaging model and a method for finding its parameters. ICCV, pp 108--115, 2001.

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