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Object Shape and Surface Reflectance Modeling Based on 3D Measurement

基于 3D 测量的物体形状和表面反射率建模

基本信息

批准号：
13480098
负责人：
YOKOYA Naokazu
金额：
$ 5.63万
依托单位：
NARA INSTITUTE OF SCIENCE OF TECHNOLOGY
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2001
资助国家：
日本
起止时间：
2001 至 2002
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-13480098/
关键词：
Virtualization of Real Objects Object Modeling Surface Reflectance Estimation 3D Measurement Mixed Reality Dynamic Image Analysis Computer Vision

项目摘要

We have obtained the following results in this project.1. Simultaneous Acquisition of Registered 3D Shape and Surface Color of Real Objects Using a RangefinderWe have developed a method for simultaneously measuring 3D shape and surface color of real objects. First, the minimum number of light sources and their positions are determined based on 3D shape of an object subject to the following conditions: (1) only diffuse reflectance components are observed at least once at each surface point, (2) strong specular reflectance components are observed at least twice at each surface point. The object is then measured under selected illumination conditions.2. Dense Estimation of Surface Reflectance Parameters of Objects from Registered Range and Color ImagesWe have developed a method for densely estimating surface reflectance parameters from registered range and color images. The method is based on substituting acquired range and color data into the Torrance-Sparrow model of surface reflection. … More First, the surface reflectance parameters are estimated without considering surface interreflections, and then the method is modified to consider interreflections. The new method is based on radiosity and has been proven to obtain more accurate results than the previous method. The proposed method has been successfully applied to interactive virtual relighting of virtualized real objects under arbitrary illumination conditions.3. 3D Surface Modeling by Registering and Integrating Multi-View Range ImagesWe have first proposed a method for acquiring multi-view range images from multiple sequences of images, which is based on applying a shape-from-motion technique to multiple long sequences of images captured by a moving video camera. 3D models with surface textures are then obtained by voting multi-view range images into a voxel space. Geometric registration of multiple range images is achieved by measuring a number of feature points in the scene in advance that appear in adjacent range images. Less

本课题取得了以下成果： 1．使用测距仪同时获取真实物体的注册 3D 形状和表面颜色我们开发了一种同时测量真实物体 3D 形状和表面颜色的方法。首先，根据物体的 3D 形状确定光源的最小数量及其位置，并满足以下条件：（1）在每个表面点处仅观察到至少一次漫反射分量，（2）在每个表面点处至少观察到两次强镜面反射分量。然后在选定的照明条件下测量物体。2．从配准的范围和彩色图像中密集估计物体的表面反射率参数我们开发了一种从配准的范围和彩色图像中密集估计表面反射率参数的方法。该方法基于将获取的距离和颜色数据代入表面反射的 Torrance-Sparrow 模型。 … 更多首先，在不考虑表面互反射的情况下估计表面反射率参数，然后修改该方法以考虑互反射。新方法基于光能传递，已被证明可以获得比以前的方法更准确的结果。该方法已成功应用于任意光照条件下虚拟真实物体的交互式虚拟重照明。 3．通过配准和集成多视图范围图像进行 3D 表面建模我们首先提出了一种从多个图像序列获取多视图范围图像的方法，该方法基于将运动形状技术应用于由移动摄像机捕获的多个长图像序列。然后通过将多视图范围图像投票到体素空间中来获得具有表面纹理的 3D 模型。多个距离图像的几何配准是通过预先测量场景中出现在相邻距离图像中的多个特征点来实现的。较少的