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Research of 3D Image Acquisition and Its Consistent Representation for Sared-Type Real Image Space

Sared型真实图像空间的3D图像采集及其一致表示研究

基本信息

批准号：
13650436
负责人：
SAITO Takahiro
金额：
$ 2.37万
依托单位：
Kanagawa University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
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

项目摘要

Toward future 3D image communication, we have started studying the "Multimedia Ambiance Communication", a kind of shared-space communication, and adopted an approach to design the 3D-image space using actual images of outdoor scenery, by introducing the concept of the three-layer model of long-, mid- and short-range views. The long- and mid-range views do not require precise representation of their 3D structure, and hence we employ the setting representation like stage settings to approximate their 3D structure according to the slanting-plane-model. We deal with an approach to produce the consistent setting representation for describing long- and mic-range views from range and texture data measured with a laser scanner and a digital camera located at multiple viewpoints. The production of such a representation requires the development of several techniques: nonlinear smoothing of raw range data, plane segmentation of range data, registration of multi-viewpoint range data, integration of multi-viewpoint setting representations and texture mapping onto each setting plane. In this paper, we concentrate on the plane segmentation and the multi-viewpoint data registration. Our plane segmentation method is based on the concept of the region competition, and can precisely extract fitting planes from the range data. Our registration method uses the equations of the segmented planes corresponding between two different viewpoints to determine the 3D Euclidean transformation between them. A unifying consistent setting representation can be constructed by integrating multiple setting representations for multiple viewpoints.

面向未来的3D图像传播，我们开始研究一种共享空间传播的“多媒体氛围传播”，通过引入长、中、近视点三层模型的概念，采用利用室外景物的实际图像来设计3D图像空间。长程和中程视图不需要精确表示它们的3D结构，因此我们采用类似舞台布景的设置表示，根据倾斜平面模型来近似它们的3D结构。我们处理了一种方法来产生一致的设置表示，用于描述由激光扫描仪和位于多个视点的数码相机测量的距离和纹理数据的远距离和远距离视图。这种表示的产生需要几种技术的发展：原始距离数据的非线性平滑，距离数据的平面分割，多视点距离数据的配准，多视点设置表示的集成以及每个设置平面上的纹理映射。本文主要研究了平面分割和多视点数据配准。我们的平面分割方法基于区域竞争的概念，可以精确地从距离数据中提取拟合平面。我们的配准方法使用两个不同视点之间对应的分割平面方程来确定它们之间的三维欧几里得变换。通过对多个视点的多个设置表示进行集成，可以构建统一一致的设置表示。