Open Access
Imaging all Visible Surfaces Or How many Reference Images are needed for Image-Based Modeling?
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TLDR
This work introduces a method to compute a minimal set of camera positions for this purpose, and uses a hierarchical visibility method to preprocess the scene to derive an optimal set of viewpoints.Abstract:
Today many systems exist to generate geometric models of existing scenes and objects. However, no accurate data about surface appearance such as colors and textures is stored in this process. Such data can be captured as a series of images that, collectively, capture all surfaces of the object. This work introduces a method to compute a minimal set of camera positions for this purpose. Taking images from the computed positions can then be used to derive a complete set of surface appearance data. A slightly different application of the presented method is the computation of a minimal set of viewpoints for reference images to be used in image-based rendering methods. First a method to determine an optimal set of viewpoint regions for a given scene is introduced. It uses a hierarchical visibility method to preprocess the scene. Then a technique to find an optimal set of viewpoint regions is presented and the solution is used to derive an optimal set of viewpoints. Results and visualizations of the computed solutions are presented.read more
Citations
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Proceedings ArticleDOI
Dynamic shader lamps : painting on movable objects
TL;DR: A real-time system for applying virtual paint and textures to real objects simply by direct physical manipulation of the object and a "paint brush" stylus to create the illusion of material properties.
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Automatic camera placement for image-based modeling
TL;DR: An automatic camera placement method for generating image-based models from scenes with known geometry that first approximately determines the set of surfaces visible from a given viewing area and then selects a small set of appropriate camera positions to sample the scene from.
Visualisation System Based on Image Warping and Delaunay Triangulation of the Space.
TL;DR: A visualisation algorithm based on image warping that divides the space inside the convex hull into tetrahedra and an automatic algorithm for selection of new reference positions to improve the quality and remove “holes”.
References
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Proceedings ArticleDOI
Modeling and rendering architecture from photographs: a hybrid geometry- and image-based approach
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Proceedings ArticleDOI
Plenoptic modeling: an image-based rendering system
Leonard McMillan,Gary Bishop +1 more
TL;DR: An image-based rendering system based on sampling, reconstructing, and resampling the plenoptic function is presented and a novel visible surface algorithm and a geometric invariant for cylindrical projections that is equivalent to the epipolar constraint defined for planar projections are introduced.
Proceedings ArticleDOI
QuickTime VR: an image-based approach to virtual environment navigation
TL;DR: This paper presents a new approach which uses 360-degree cylindrical panoramic images to compose a virtual environment which includes viewing of an object from different directions and hit-testing through orientation-independent hot spots.
Proceedings ArticleDOI
View interpolation for image synthesis
TL;DR: In this paper, a view interpolation approach to synthesize 3D scenes has been proposed, which combines interpolation of texture maps and their shape, is applied to computing arbitrary intermediate frames from an array of prestored images.