Entire Shape Acquisition Technique Using Multiple Projectors and Cameras with Parallel Pattern Projection
スポンサーリンク
概要
- 論文の詳細を見る
In the present paper, we propose a one-shot scanning system consisting of multiple projectors and cameras for dense entire shape acquisition of a moving object. One potential application of the proposed system is to capture a moving object at a high frame rate. Since the patterns used for one-shot scanning are usually complicated, and the patterns interfere with each other if they are projected onto the same object, it is difficult to use multiple sets of patterns for entire shape acquisition. In addition, the overlapped areas of each object have gaps and errors are accumulated. As such, merged shapes are usually noisy and inconsistent. In order to address this problem, we propose a one-shot shape reconstruction method using a projector to project a static pattern of parallel lines of one or two colors. Since each projector projects only parallel lines with a small number of colors, these patterns are easily decomposed and detected even if the patterns are projected multiple times onto the same object. We also propose a multi-view reconstruction algorithm for the projector-camera system. In the experiment, we built a system consisting of six projectors and six cameras, and dense shapes of entire objects were successfully reconstructed.
著者
-
YAGI YASUSHI
Osaka University
-
Sakashita Kazuhiro
Osaka University
-
Sagawa Ryusuke
National Institute of Advanced Industrial Science and Technology
-
Asada Naoki
Hiroshima City University
-
Furukawa Ryo
Hiroshima City University
-
Kawasaki Hiroshi
Kagoshima University
関連論文
- Outlier Detection for Robust Parameter Estimation Against Multi-modeled/structured Data
- Entire Shape Acquisition Technique Using Multiple Projectors and Cameras with Parallel Pattern Projection
- Capturing Textured 3D Shapes based on Infrared One-shot Grid Pattern
- Entire Shape Acquisition Technique Using Multiple Projectors and Cameras with Parallel Pattern Projection
- Capturing Textured 3D Shapes based on Infrared One-shot Grid Pattern
- Periodic Temporal Super Resolution Based on Phase Registration and Manifold Reconstruction
- Group Context-aware Person Identification in Video Sequences
- Group Context-aware Person Identification in Video Sequences
- Rapid BRDF Measurement Using an Ellipsoidal Mirror and a Projector
- Analysis of Subsurface Scattering Based on Dipole Approximation
- Highly Robust Estimator Using a Case-dependent Residual Distribution Model
- Analysis of Subsurface Scattering Based on Dipole Approximation
- Foreword — Welcome to CVA —