The Experts below are selected from a list of 195 Experts worldwide ranked by ideXlab platform
Yukiko Kenmochi - One of the best experts on this subject based on the ideXlab platform.
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3D discrete Rotations using hinge angles
Theoretical Computer Science, 2011Co-Authors: Yohan Thibault, Akihiro Sugimoto, Yukiko KenmochiAbstract:In this paper, we study 3D Rotations on grid points computed by using only integers. For that purpose, we investigate the intersection between the 3D half-grid and the Rotation Plane. From this intersection, we define 3D hinge angles which determine a transit of a grid point from a voxel to its adjacent voxel during the Rotation. Then, we give a method to sort all 3D hinge angles with integer computations. The study of 3D hinge angles allows us to design a 3D discrete Rotation and to estimate the Rotation between a pair of digital images in correspondence.
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IWCIA - Hinge Angles for 3D Discrete Rotations
Lecture Notes in Computer Science, 2009Co-Authors: Yohan Thibault, Akihiro Sugimoto, Yukiko KenmochiAbstract:In this paper, we focus on 3D Rotations on grid points computed by using only integers. For that purpose, we study the intersection between the 3D half-grid and the Rotation Plane. From this intersection, we define 3D hinge angles which determine a transit of a grid point from a voxel to its adjacent voxel during the Rotation. Then, we give a method to sort all 3D hinge angles with integer computations. The study of 3D hinge angles allows us to design a 3D discrete Rotation.
A. Murata - One of the best experts on this subject based on the ideXlab platform.
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Acquiring a complete 3D model from specular motion under the illumination of circular-shaped light sources
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000Co-Authors: Jiang Yu Zheng, A. MurataAbstract:We recover 3D models of objects with specular surfaces. An object is rotated and its continuous images are taken. Circular-shaped light sources that generate conic rays are used to illuminate the rotating object in such a way that highlighted stripes can be observed on most of the specular surfaces. Surface shapes can be computed from the motions of highlights in the continuous images; either specular motion stereo or single specular trace mode can be used. When the lights are properly set, each point on the object can be highlighted during the Rotation. The shape for each Rotation Plane is measured independently using its corresponding epipolar Plane image. A 3D shape model is subsequently reconstructed by combining shapes at different Rotation Planes. Computing a shape is simple and requires only the motion of highlight on each Rotation Plane. The novelty of this paper is the complete modeling of a general type of specular objects that has not been accomplished before.
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ICCV - Acquiring 3D object models from specular motion using circular lights illumination
Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), 1998Co-Authors: Jiang Yu Zheng, A. MurataAbstract:This work recovers 3D graphics models of objects with specular surfaces. An object is rotated and continuous images of it are taken. Circular lights that generate cones of rays are used to illuminate the rotating object. When the lights are properly set each point on the object can be highlighted during the Rotation. The shape for each Rotational Plane is measured independently using its corresponding epipolar Plane image. A 3D graphics model is subsequently reconstructed by combining shapes at different Rotation Planes. Computing a shape is simple and requires only the motion of the highlight on each Rotation Plane. Results not obtained before are given in the 3D shape recovery experiments on real objects.
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ACCV (2) - Generating 3D Models of Objects Using Multiple Visual Cues in Image Sequences
Computer Vision — ACCV'98, 1997Co-Authors: Jiang Yu Zheng, A. MurataAbstract:This work aims at building a 3D graphics model of an object using multiple visual cues. Different materials and shapes may yield different visual cues such as corner, pattern, highlight, and contour on objects. These cues may appear as similar edges, peaks and intensities in the images. To obtain a correct shape, different shape recovery methods must be applied separately. The key problem is how to identify features for different shape recovery methods. We rotate an object and take a dense image sequence. In each Epipolar Plane Image of the Rotation Plane, we classify visual cues based on not only based on their image characteristics but also their motion behavior. Then we integrate shapes from different algorithms.
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ICPR - Reconstruction of 3D models from specular motion using circular lights
Proceedings of 13th International Conference on Pattern Recognition, 1996Co-Authors: Jiang Yu Zheng, A. Murata, Y. FukagawaAbstract:This paper generalizes a shape recovery method for specular surfaces. We have use linear lights that generate Planes of ray to highlight a rotating object so that its specular surfaces are computed from continuous images. By setting lights properly, shape at each Rotation Plane can be measured and a 3D graphics model can be subsequently reconstructed. In this paper, we extend the lights used to circular ones to produce cones of ray. Under such illuminations, all surface points with different normals are highlighted in a Rotation period. The computation of shape is simpler than compared with the linear light case. We give results of shape recovery on real objects.
Jiang Yu Zheng - One of the best experts on this subject based on the ideXlab platform.
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Acquiring a complete 3D model from specular motion under the illumination of circular-shaped light sources
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2000Co-Authors: Jiang Yu Zheng, A. MurataAbstract:We recover 3D models of objects with specular surfaces. An object is rotated and its continuous images are taken. Circular-shaped light sources that generate conic rays are used to illuminate the rotating object in such a way that highlighted stripes can be observed on most of the specular surfaces. Surface shapes can be computed from the motions of highlights in the continuous images; either specular motion stereo or single specular trace mode can be used. When the lights are properly set, each point on the object can be highlighted during the Rotation. The shape for each Rotation Plane is measured independently using its corresponding epipolar Plane image. A 3D shape model is subsequently reconstructed by combining shapes at different Rotation Planes. Computing a shape is simple and requires only the motion of highlight on each Rotation Plane. The novelty of this paper is the complete modeling of a general type of specular objects that has not been accomplished before.
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ICCV - Acquiring 3D object models from specular motion using circular lights illumination
Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271), 1998Co-Authors: Jiang Yu Zheng, A. MurataAbstract:This work recovers 3D graphics models of objects with specular surfaces. An object is rotated and continuous images of it are taken. Circular lights that generate cones of rays are used to illuminate the rotating object. When the lights are properly set each point on the object can be highlighted during the Rotation. The shape for each Rotational Plane is measured independently using its corresponding epipolar Plane image. A 3D graphics model is subsequently reconstructed by combining shapes at different Rotation Planes. Computing a shape is simple and requires only the motion of the highlight on each Rotation Plane. Results not obtained before are given in the 3D shape recovery experiments on real objects.
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ACCV (2) - Generating 3D Models of Objects Using Multiple Visual Cues in Image Sequences
Computer Vision — ACCV'98, 1997Co-Authors: Jiang Yu Zheng, A. MurataAbstract:This work aims at building a 3D graphics model of an object using multiple visual cues. Different materials and shapes may yield different visual cues such as corner, pattern, highlight, and contour on objects. These cues may appear as similar edges, peaks and intensities in the images. To obtain a correct shape, different shape recovery methods must be applied separately. The key problem is how to identify features for different shape recovery methods. We rotate an object and take a dense image sequence. In each Epipolar Plane Image of the Rotation Plane, we classify visual cues based on not only based on their image characteristics but also their motion behavior. Then we integrate shapes from different algorithms.
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ICPR - Reconstruction of 3D models from specular motion using circular lights
Proceedings of 13th International Conference on Pattern Recognition, 1996Co-Authors: Jiang Yu Zheng, A. Murata, Y. FukagawaAbstract:This paper generalizes a shape recovery method for specular surfaces. We have use linear lights that generate Planes of ray to highlight a rotating object so that its specular surfaces are computed from continuous images. By setting lights properly, shape at each Rotation Plane can be measured and a 3D graphics model can be subsequently reconstructed. In this paper, we extend the lights used to circular ones to produce cones of ray. Under such illuminations, all surface points with different normals are highlighted in a Rotation period. The computation of shape is simpler than compared with the linear light case. We give results of shape recovery on real objects.
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ICPR - Computing 3D models of rotating objects from moving shading
Proceedings of 13th International Conference on Pattern Recognition, 1996Co-Authors: Jiang Yu Zheng, H. Kakinoki, K. TanakaAbstract:This work reconstructs 3D graphics model of an object from an image sequence taken during the object Rotation. Shading and its motion information are used in estimating shapes of smooth surfaces between fixed edges from corners and patterns. Being different from conventional shape from shadings that use one or several images, we use an image sequence that provides not only shading but also its motion. Maximum diffused shading moving on surfaces is followed at each Rotation Plane and surface normals are obtained. Positions of points are estimated from moving shading using motion stereo principle. It is linear equations directly achieving the results rather than iterative computation in shape from shading using complex approximation.
Yohan Thibault - One of the best experts on this subject based on the ideXlab platform.
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3D discrete Rotations using hinge angles
Theoretical Computer Science, 2011Co-Authors: Yohan Thibault, Akihiro Sugimoto, Yukiko KenmochiAbstract:In this paper, we study 3D Rotations on grid points computed by using only integers. For that purpose, we investigate the intersection between the 3D half-grid and the Rotation Plane. From this intersection, we define 3D hinge angles which determine a transit of a grid point from a voxel to its adjacent voxel during the Rotation. Then, we give a method to sort all 3D hinge angles with integer computations. The study of 3D hinge angles allows us to design a 3D discrete Rotation and to estimate the Rotation between a pair of digital images in correspondence.
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IWCIA - Hinge Angles for 3D Discrete Rotations
Lecture Notes in Computer Science, 2009Co-Authors: Yohan Thibault, Akihiro Sugimoto, Yukiko KenmochiAbstract:In this paper, we focus on 3D Rotations on grid points computed by using only integers. For that purpose, we study the intersection between the 3D half-grid and the Rotation Plane. From this intersection, we define 3D hinge angles which determine a transit of a grid point from a voxel to its adjacent voxel during the Rotation. Then, we give a method to sort all 3D hinge angles with integer computations. The study of 3D hinge angles allows us to design a 3D discrete Rotation.
Akihiro Sugimoto - One of the best experts on this subject based on the ideXlab platform.
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3D discrete Rotations using hinge angles
Theoretical Computer Science, 2011Co-Authors: Yohan Thibault, Akihiro Sugimoto, Yukiko KenmochiAbstract:In this paper, we study 3D Rotations on grid points computed by using only integers. For that purpose, we investigate the intersection between the 3D half-grid and the Rotation Plane. From this intersection, we define 3D hinge angles which determine a transit of a grid point from a voxel to its adjacent voxel during the Rotation. Then, we give a method to sort all 3D hinge angles with integer computations. The study of 3D hinge angles allows us to design a 3D discrete Rotation and to estimate the Rotation between a pair of digital images in correspondence.
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IWCIA - Hinge Angles for 3D Discrete Rotations
Lecture Notes in Computer Science, 2009Co-Authors: Yohan Thibault, Akihiro Sugimoto, Yukiko KenmochiAbstract:In this paper, we focus on 3D Rotations on grid points computed by using only integers. For that purpose, we study the intersection between the 3D half-grid and the Rotation Plane. From this intersection, we define 3D hinge angles which determine a transit of a grid point from a voxel to its adjacent voxel during the Rotation. Then, we give a method to sort all 3D hinge angles with integer computations. The study of 3D hinge angles allows us to design a 3D discrete Rotation.
