计算机工程与应用2012，Vol.48Issue(9)：198-200,3.DOI:10.3778/j.issn.1002-8331.2012.09.056
增强现实游戏的场景重建和运动物体跟踪技术
Reconstructing of scene and tracking of moving objects for augmented reality game
饶玲珊 1林寅 2杨旭波 1肖双九2
作者信息
- 1. 上海交通大学软件学院数字艺术实验室,上海200240
- 2. 上海交通大学智能计算与智能系统教育部-微软重点实验室,上海200240
- 折叠
摘要
Abstract
As the ridgelet transform can process line singularities of images more efficiently than the wavelet transform, an image-de-noising method combining the wavelet transform with the ridgelet transform is proposed. The proposed method divides a noisy image into homogeneous blocks and non-homogeneous blocks, and the homogeneous and non-homogeneous blocks are processed by the wavelet transform and the ridgelet transform respectively. The processed image is filtered by the Wiener filter. Experimental results show that the proposed method has higher SNRs for the denoised images than both the ridgelet denoising method and the wavelet de-noising method. The proposed method is found more efficient in preserving image details.关键词
即时定位与地图构建/相机跟踪/增强现实/物体检测Key words
image denoising/ wavelet transform/ ridgelet transform/ homogeneous block分类
信息技术与安全科学引用本文复制引用
饶玲珊,林寅,杨旭波,肖双九..增强现实游戏的场景重建和运动物体跟踪技术[J].计算机工程与应用,2012,48(9):198-200,3.
