Vision-based 3D shape and volume sensing of deformable surfaces

基于视觉的可变形表面 3D 形状和体积感测

• 批准号: 491407-2015
• 负责人: Kofman, Jonathan
• 金额: $ 1.82万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=586887
• 关键词: Vision; based; 3D; shape; volume

Measurement of the shape of surfaces is especially challenging if the surfaces are deforming, if the sensor is moving, and if the lighting conditions are changing during measurement. This Engage project aims to achieve vision-based 3D shape measurement of surfaces under these challenging conditions, by using a combination of structured lighting methods and stereo-photogrammetric techniques, and error correction methods for sensor and surface motion. Numerous combinations of parameters of the measurement system will be tested in order to optimize the system for the best trade-off between highest accuracy and scanning speed.

如果表面正在变形，如果传感器在移动，如果在测量过程中照明条件发生变化，则表面形状的测量尤其具有挑战性。该项目旨在通过结合使用结构照明方法和立体摄影测量技术，以及传感器和表面运动的误差校正方法，在这些具有挑战性的条件下实现基于视觉的表面3D形状测量。将测试测量系统的许多参数组合，以优化系统以在最高精度和扫描速度之间实现最佳平衡。