S.M. Seitz, "The Space of All Stereo Images," Proc. Int'l Conf. Computer Vision '01, vol. I (2001) 26--33.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....the following projects: GACR 102 01 0971, MSMT KONTAKT 2001 09, J04 98:212300013, and and ME 412. reconstruct scenes with minimal error. We have shown recently that some noncentral cameras provide a generalization of epipolar geometries [13] The same idea was independently introduced by Seitz in [20] and demonstrated on existing mosaicing techniques and some new mosaicing techniques were proposed. We show an interesting generalization of the epipolar geometry. Our generalization leads to non central cameras, which have pairwise oblique rays. We show that such cameras can form a stereo ....

S. Seitz. The space of all stereo images. In International Conference on Computer Vision, Vancouver, Canada, pages 26--33, July 2001.

....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 is no disparity in the ....

....point in the scene P an the two camera centers define a plane # in which all the light rays forming the images if the epipolar lines l 1 and l 2 must lie. In the case of some noncentral cameras, the epipolar lines become curves and the light rays forming their images lie on a doubly ruled surface [34, 41]. There are only three doubly ruled surfaces, a plane, a hyperbolic paraboloid, and a single sheet hyperboloid [15, 19] Because the plane is included among them, we can state that the class of cameras with the epipolar surfaces supersedes the class of the central cameras with the epipolar ....

S. Seitz. The space of all stereo images. In J. Little and D. Lowe, editors, ICCV'01: Proc. Eighth IEEE International Conference on Computer Vision, volume 1, pages 26--35, Los Alamitos, CA, USA, July 2001. IEEE Computer Society.

....related. The spatio temporal volumes of that work encode camera position, rather than time, making it more closely related to multibaseline stereo and structure from motion. Similarly, our framework is not directly related to recent research which provides unifying theories for multiperspective [27] and multiocular [2] stereo. 3.2. Time coded structured light Time coded structured light methods determine depth by triangulating between projected light patterns and an observing camera viewpoint. A recent survey of these methods is by Batlle et al. 3] The projector illuminates a static ....

S. Seitz. The space of all stereo images. In ICCV, pages 26--33, 2001.

....omnivergent sensor in order to reconstruct scenes with minimal error. It has been recently shown that some non central cameras provide a generalization of epipolar geometries [7] The idea was demonstrated on existing mosaicing techniques as well as some new mosaicing techniques were proposed [10]. In this paper, we show an interesting generalization of the epipolar geometry. Our generalization leads to noncentral cameras, which have pairwise oblique rays. We show that such cameras can form a stereo geometry with double ruled epipolar surfaces such that the sets of mutually oblique rays ....

S. Seitz. The space of all stereo images. In International Conference on Computer Vision, Vancouver, Canada, pages 26--33, July 2001.

....by mosaicing a sequence of images captured by a translating pinhole camera, and because those images look compelling and realistic. The mosaicing process is done by sampling vertical strips from the sequence of frames and pasting them together. Unlike traditional mosaicing techniques [16] [18], 25] 8] the strip sampling location may vary as a function of the location of the input translating camera. We thus call it nonstationary mosaicing. Mosaic images obtained in this way are more similar to perspective images than traditional mosaic images. 1.1 The X Slits Camera: Outline ....

....We note that both applications are done by plain mosaicing, without recovering the scene or the object model. 1. 2 Relation to Previous Work There has been much work on nonperspective projection models [15] and the generation of nonperspective images from video sequences by mosaicing [16] [18], 25] 8] In most cases, these images are used as a visual summary of the video or for 3D visualization. The present work uses a similar mosaicing technique with one important difference: The mosaiced strips are sampled from varying positions in the input images. This makes the generation of ....

S.M. Seitz, "The Space of All Stereo Images," Proc. Int'l Conf. Computer Vision '01, vol. I, pp. 26-33, July 2001.

....the scene or object geometrical model. 1.2. Relation to Previous Work Much work was done on non perspective projection models [14] and the generation of non perspective images from The space time volume is simply a stacking of the input images, a.k.a. the epipolar volume. video sequences [15, 16, 20, 7]. In most cases these images are used as a visual summary of the video, or for 3D visualization. The present work uses a similar mosaicing technique with one important difference: the mosaiced strips are sampled from varying positions in the input images. This makes the generation of virtual ....

S.M. Seitz. The Space of All Stereo Images In Proc. of ICCV'01, pages I: 26-33, Vancouver, Canada, July 2001.

.... 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 ....

S. Seitz, "The space of all stereo images," in Proc. International Conference on Computer Vision, 2001, pp. 307--314.

....on a new and possibly complex camera system. 1. Introduction This paper concerns the computation of epipolar geometry for stereo camera pairs. Recently many new types of camera configurations have been used which are generalizations of the conventional stereo rig with two pinhole cameras [4, 5, 6, 7, 9, 8, 10]. We are interested in such general cases and indeed in cases where a parametric model may not even be available. The approach developed here takes a fresh look at the two camera configuration. It does not model the 3D geometric configuration of cameras, mirrors and lenses but rather learns the ....

S. Seitz. The space of all stereo images. In Proc. ICCV, pages 2(33, 2001.

.... 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 ....

S. Seitz. The space of all stereo images. In Proc. International Conference on Computer Vision, 2001.

....method include: i) the representation of a sequence by a bi centric panorama instead of the pushbroom panorama, which is typically used when the camera is translating; ii) new view generation for stereo viewing or 3 D TV. The idea of sampling columns from images has been recently explored in [12, 11]. While [11] only used the constant sampling function (as in the traditional pushbroom panorama) 12] indeed used a varying sampling function for the columns. However, like the other ray sampling methods described above, the proposed sampling method relied on the precise measurement of camera ....

....(i) the representation of a sequence by a bi centric panorama instead of the pushbroom panorama, which is typically used when the camera is translating; ii) new view generation for stereo viewing or 3 D TV. The idea of sampling columns from images has been recently explored in [12, 11] While [11] only used the constant sampling function (as in the traditional pushbroom panorama) 12] indeed used a varying sampling function for the columns. However, like the other ray sampling methods described above, the proposed sampling method relied on the precise measurement of camera location and ....

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S. M. Seitz, The Space of All Stereo Images. In Proc. ICCV, 2001.

....can then uns one of the following partial scene representations. Polycentric and stereoscopic panoramas: Polycentric panoramas mix the wide viewpoint capabilities of a panorama with stereoscopic visualisation. Recently a whole new field has emerged here and impressive results were obtained (see [28, 15, 31]. These representation is mainly thought for stereoscopic visualisation since no depth is computed. Layered depth representations: Layered depth [32] can be thought of as a coarse depth estimation by using occlusion maps and stacked images. We could also think of sets of panoramas that are placed ....

S. Seitz, "The space of all stereo images", Int. Conf. Computer Vision ICCV01, Vancouver, Can, 2001.

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S.M. Seitz, "The Space of All Stereo Images," Proc. Int'l Conf. Computer Vision '01, vol. I (2001) 26--33.

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SEITZ S. M.: The space of all stereo images. International Journal of Computer Vision '01 (2001), 26--33. 1, 2

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S.M. Seitz. The space of all stereo images. In Proceedings of International Conference on Computer Vision, pages 26--33, 2001.

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S. M. Seitz. The Space of All Stereo Images. In Proc. of ICCV'01, pages I: 26-33, Vancouver, Canada, 2001.

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S. Seitz. The space of all stereo images. In Proc. International Conference on Computer Vision, pages 307--314, 2001.

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S. Seitz. The space of all stereo images. In Proc. International Conference on Computer Vision, pages 307--314, 2001.

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S. M. Seitz and J. Kim. The space of all stereo images. In International Journal of Computer Vision, 2001.

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S. M. Seitz and J. Kim:"The space of all stereo images," Int. J. Computer Vision, Vol.48, No.1, pp.21-38, 2002

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S. M. Seitz, The Space of All Stereo Images. In Proc. ICCV, 2001.

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