On-line Reconstruction of 3-D Structure from Image Sequences Based on Spatio-temporal Information Propagation

基于时空信息传播的图像序列3维结构在线重建

基本信息

批准号：
15500117
负责人：
TAGAWA Norio
金额：
$ 1.92万
依托单位：
Tokyo Metropolitan University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (C)
财政年份：
2003
资助国家：
日本
起止时间：
2003 至 2004
项目状态：
已结题

来源：
https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-15500117/
关键词：
optical flow Kalman filter 3-D shape reconstruction EM algorithm MAP estimator ML estimator information propagation image sequence analysis 動画像形状復元多重解像度処理 MAP-EMアルゴリズム陰影

项目摘要

1.Results of this project(1)Development of an information propagation toward a resolution directionWe developed an optical flow computation algorithm using successive two frames, which can solve the aperture problem and the alias problem. Although the basic idea is applying the Kalman filter with a resolution direction, we extended it so as to determine the parameters usually needed to be known before applying the Kalman filter. Through numerical evaluations, it was confirmed that this algorithm correctly works.(2)Development of an information propagation toward a time directionWe developed a depth computation algorithm based on information propagation toward a time direction using the optical flow estimate and its reliability computed by the above algorithm. This depth computation algorithm also is a concrete of the above Kalman filter having parameter determination function, and we incorporated an interpolation method of the depth, which was newly developed, into this algorithm.2.Future planIn this project, we examined the case in which the intensity invariant constraint holds completely. However, for the case that a camera is fixed and target objects moves, such the constraint does not hold. Hence, we are planning to extend the algorithm developed in this project in order to treat the intensity variant situations.

1.该项目的结果（1）开发向解决方向的信息传播开发了使用连续的两个帧开发了光流计算算法，这可以解决孔径问题和别名问题。尽管基本思想是在分辨率方向上应用卡尔曼滤波器，但我们将其扩展为以确定通常需要在应用Kalman滤波器之前知道的参数。通过数值评估，证实了该算法正确起作用。（2）开发向Time Directionwe向Time Direction We的开发基于信息流向时间方向的信息流量估算及其可靠性，开发了一种深度计算算法算法。该深度计算算法也是具有参数确定函数的上述卡尔曼滤波器的混凝土，我们将深度的插值方法纳入了该算法。强度不变约束完全保持。但是，为了固定摄像机并移动目标对象的情况，这种约束不存在。因此，我们计划扩展该项目中开发的算法，以治疗强度变异情况。