We propose a novel solution for reconstructing planar surface patches from omnidirectional camera images. The theoretical foundation relies on variational calculus, which yields a closed form solution for the normal v...
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This paper deals with surface normal estimation from calibrated stereo images. We show here how the affine transformation between two projections defines the surface normal of a 3D planar patch. We give a formula that...
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ISBN:
(纸本)9789897580918
This paper deals with surface normal estimation from calibrated stereo images. We show here how the affine transformation between two projections defines the surface normal of a 3D planar patch. We give a formula that describes the relationship of surface normals, camera projections, and affine transformations. This formula is general since it works for every kind of cameras. We propose novel methods for estimating the normal of a surface patch if the affine transformation is known between two perspective images. We show here that the normal vector can be optimally estimated if the projective depth of the patch is known. Other non-optimal methods are also introduced for the problem. The proposed methods are tested both on synthesized data and images of real-world 3D objects.
We propose a novel solution for reconstructing planar surface patches from omnidirectional camera images. The theoretical foundation relies on variational calculus, which yields a closed form solution for the normal v...
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We propose a novel solution for reconstructing planar surface patches from omnidirectional camera images. The theoretical foundation relies on variational calculus, which yields a closed form solution for the normal vector a 3D planar surface patch, when a homography is known between the corresponding image region pairs. The method is quantitatively evaluated on a large set of synthetic data. Experimental results confirm that the method provides good reconstructions in real-time.
This study presents a 3D structured light scanner that can reconstruct 3D objects. The goal of the paper is to show that high quality 3D models can be computed using the equipment proposed here. The resulting 3D objec...
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This study presents a 3D structured light scanner that can reconstruct 3D objects. The goal of the paper is to show that high quality 3D models can be computed using the equipment proposed here. The resulting 3D object then can be used in arbitrary 3D applications such as augmented reality or human-computer interaction solutions. The object to be reconstructed is placed on a turntable. It is illuminated by a standard projector and images are taken of it by a high resolution color digital camera. The turntable rotates the object, enabling measurements from different points of view. The proposed scanning system is fully automatic, no manual interaction is required. A novel rendering method is also presented that can generate realistic images of the reconstructed model from its colored point set representation.
3D reconstruction with missing data has been a very challenging computervision task since the late 90s. This paper proposes the GPU-powered version of our weak-perspective Structure from Motion algorithm published in...
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3D reconstruction with missing data has been a very challenging computervision task since the late 90s. This paper proposes the GPU-powered version of our weak-perspective Structure from Motion algorithm published in BMVC2008. Although this method is iterative, it is very rapid since all substeps in each iteration minimize the parameters optimally with respect to the reprojection error. We demonstrate here in both synthetic and real tests that the use of the GPU significantly reduces the time demand of the algorithm. Real-time 3D reconstruction is possible if the parameters of the optimization algorithm are set properly.
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