36 research outputs found

    Multi-View Image Compositions

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    The geometry of single-viewpoint panoramas is well understood: multiple pictures taken from the same viewpoint may be stitched together into a consistent panorama mosaic. By contrast, when the point of view changes or when the scene changes (e.g., due to objects moving) no consistent mosaic may be obtained, unless the structure of the scene is very special. Artists have explored this problem and demonstrated that geometrical consistency is not the only criterion for success: incorporating multiple view points in space and time into the same panorama may produce compelling and informative pictures. We explore this avenue and suggest an approach to automating the construction of mosaics from images taken from multiple view points into a single panorama. Rather than looking at 3D scene consistency we look at image consistency. Our approach is based on optimizing a cost function that keeps into account image-to-image consistency which is measured on point-features and along picture boundaries. The optimization explicitly considers occlusion between pictures. We illustrate our ideas with a number of experiments on collections of images of objects and outdoor scenes

    Mosaiced-Based Panoramic Depth Imaging with a Single Standard Camera

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    In this article we present a panoramic depth imaging system. The system is mosaic-based which means that we use a single rotating camera and assemble the captured images in a mosaic. Due to a setoff of the camera’s optical center from the rotational center of the system we are able to capture the motion parallax effect which enables the stereo reconstruction. The camera is rotating on a circular path with the step defined by an angle, equivalent to one column of the captured image. The equation for depth estimation can be easily extracted from system geometry. To find the corresponding points on a stereo pair of panoramic images the epipolar geometry needs to be determined. It can be shown that the epipolar geometry is very simple if we are doing the reconstruction based on a symmetric pair of stereo panoramic images. We get a symmetric pair of stereo panoramic images when we take symmetric columns on the left and on the right side from the captured image center column. Epipolar lines of the symmetrical pair of panoramic images are image rows. We focused mainly on the system analysis. Results of the stereo reconstruction procedure and quality evaluation of generated depth images are quite promissing. The system performs well in the reconstruction of small indoor spaces. Our finall goal is to develop a system for automatic navigation of a mobile robot in a room

    Automating joiners

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    Pictures taken from different view points cannot be stitched into a geometrically consistent mosaic, unless the structure of the scene is very special. However, geometrical consistency is not the only criterion for success: incorporating multiple view points into the same picture may produce compelling and informative representations. A multi viewpoint form of visual expression that has recently become highly popular is that of joiners (a term coined by artist David Hockney). Joiners are compositions where photographs are layered on a 2D canvas, with some photographs occluding others and boundaries fully visible. Composing joiners is currently a tedious manual process, especially when a great number of photographs is involved. We are thus interested in automating their construction. Our approach is based on optimizing a cost function encouraging image-to-image consistency which is measured on point-features and along picture boundaries. The optimization looks for consistency in the 2D composition rather than 3D geometrical scene consistency and explicitly considers occlusion between pictures. We illustrate our ideas with a number of experiments on collections of images of objects, people, and outdoor scenes

    Panoramic Depth Imaging: Single Standard Camera Approach

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    In this paper we present a panoramic depth imaging system. The system is mosaic-based which means that we use a single rotating camera and assemble the captured images in a mosaic. Due to a setoff of the camera’s optical center from the rotational center of the system we are able to capture the motion parallax effect which enables stereo reconstruction. The camera is rotating on a circular path with a step defined by the angle, equivalent to one pixel column of the captured image. The equation for depth estimation can be easily extracted from the system geometry. To find the corresponding points on a stereo pair of panoramic images the epipolar geometry needs to be determined. It can be shown that the epipolar geometry is very simple if we are doing the reconstruction based on a symmetric pair of stereo panoramic images. We get a symmetric pair of stereo panoramic images when we take symmetric pixel columns on the left and on the right side from the captured image center column. Epipolar lines of the symmetrical pair of panoramic images are image rows. The search space on the epipolar line can be additionaly constrained. The focus of the paper is mainly on the system analysis. Results of the stereo reconstruction procedure and quality evaluation of generated depth images are quite promissing. The system performs well for reconstruction of small indoor spaces. Our finall goal is to develop a system for automatic navigation of a mobile robot in a room

    Multiperspective Modeling and Rendering Using General Linear Cameras

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    Capturing Panoramic Depth Images with a Single Standard Camera

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    In this paper we present a panoramic depth imaging system. The system is mosaic-based which means that we use a single rotating camera and assemble the captured images in a mosaic. Due to a setoff of the camera’s optical center from the rotational center of the system we are able to capture the motion parallax effect which enables the stereo reconstruction. The camera is rotating on a circular path with the step defined by an angle equivalent to one column of the captured image. The equation for depth estimation can be easily extracted from system geometry. To find the corresponding points on a stereo pair of panoramic images the epipolar geometry needs to be determined. It can be shown that the epipolar geometry is very simple if we are doing the reconstruction based on a symmetric pair of stereo panoramic images. We get a symmetric pair of stereo panoramic images when we take symmetric columns on the left and on the right side from the captured image center column. Epipolar lines of the symmetrical pair of panoramic images are image rows. We focused mainly on the system analysis. The system performs well in the reconstruction of small indoor spaces

    Ustvarjanje panoramskih globinskih slik s standardno kamero

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    V clanku je predstavljen sistem za gradnjo globinskih panoramskih slik s postopkom mozaicenja standardnih slik zajetih z eno kamero. Zaradi odmika opticnega centra kamere iz sredisca vrtenja sistema, lahko z eno kamero zajamemo paralakso gibanja, ki omogoca stereo rekonstrukcijo. Panoramske slike ustvarimo tako, da rotacijsko roko vrtimo za kot, ki ustreza premiku za eno kolono zajete slike. Iz geometrije sistema je lepo razvidna enacba za izracun globine. Za izracun globine pa moramo najti korespondencne tocke na paru stereo panoram, zato moramo izracunati epipolarno geometrijo. Teza clanka je predvsem v analizi zmogljivosti sistema. Sistem daje dobre rezultate pri rekonstrukciji majhnih prostorov

    A virtual reality system using the concentric mosaic: Construction, rendering, and data compression

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    This paper proposes a new image-based rendering (IBR) technique called "concentric mosaic" for virtual reality applications. IBR using the plenoptic function is an efficient technique for rendering new views of a scene from a collection of sample images previously captured. It provides much better image quality and lower computational requirement for rendering than conventional three-dimensional (3-D) model-building approaches. The concentric mosaic is a 3-D plenoptic function with viewpoints constrained on a plane. Compared with other more sophisticated four-dimensional plenoptic functions such as the light field and the lumigraph, the file size of a concentric mosaic is much smaller. In contrast to a panorama, the concentric mosaic allows users to move freely in a circular region and observe significant parallax and lighting changes without recovering the geometric and photometric scene models. The rendering of concentric mosaics is very efficient, and involves the reordering and interpolating of previously captured slit images in the concentric mosaic. It typically consists of hundreds of high-resolution images which consume a significant amount of storage and bandwidth for transmission. An MPEG-like compression algorithm is therefore proposed in this paper taking into account the access patterns and redundancy of the mosaic images. The compression algorithms of two equivalent representations of the concentric mosaic, namely the multiperspective panoramas and the normal setup sequence, are investigated. A multiresolution representation of concentric mosaics using a nonlinear filter bank is also proposed.published_or_final_versio

    Gradnja globinskih panoramskih slik s postopkom mozaičenja

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    V clanku je predstavljen sistem za gradnjo globinskih panoramskih slik s postopkom mozaicenja standardnih slik zajetih z eno kamero. Zaradi odmika opticnega centra kamere iz sredisca vrtenja sistema, lahko z eno kamero zajamemo paralakso gibanja, ki omogoca stereo rekonstrukcijo. Panoramske slike ustvarimo tako, da rotacijsko roko vrtimo za kot, ki ustreza premiku za eno kolono zajete slike. Iz geometrije sistema je lepo razvidna enacba za izraˇcun globine. Za izracun globine pa moramo najti korespondencne tocke na paru stereo panoram, zato moramo izracunati epipolarno geometrijo. Izkaze se, da je epipolarna geometrija zelo enostavna v primeru racunanja rekonstrukcije na podlagi simetricnega para panoram. Simetricen par panoram dobimo, ce vzamemo enako oddaljeni koloni levo in desno od sredine zajete slike. Epipolarne premice simetricnih parov panoram so istolezne vrstice panoram. Teza clanka je predvsem v analizi zmogljivosti sistema. Sistem daje dobre rezultate pri rekonstrukciji majhnih prostorov
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