Depth estimation using multi-wavelet analysis based stereo vision approach
Depth estimation using multi-wavelet analysis based stereo vision approach
复制标题
使用基于多小波分析的立体视觉方法进行深度估计
DOI：
10.1142/s0219691308002434
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发表时间：
2008
期刊：
影响因子：
--
通讯作者：
S. Nahavandi
中科院分区：
文献类型：
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作者：
A. Bhatti;S. Nahavandi
铝压铸件中的尺寸缺陷问题在整个铸造行业中普遍存在，其检测对于维持产品质量至关重要。由于不可预测的工厂环境以及铝压铸件的金属性和高反射性，自主估计压铸件的真实尺寸极其困难。在这项工作中，我们提出了一种新颖的鲁棒 3D 重建算法，能够重建铝压铸件的尺寸精确的 3D 深度模型。所开发的系统非常简单且具有成本效益，因为它仅由一对立体相机和一个简单的荧光灯组成。开发的系统能够估计表面深度，误差在 1.5 毫米以内。此外，该系统对于输入图像空间中物体的光照变化和方向具有不变性，这使得所开发的系统具有高度鲁棒性。由于其硬件简单性和鲁棒性，它可以在不同的工厂环境中实施，而无需对设置进行重大更改。
The problem of dimensional defects in aluminum die- casting is widespread throughout the foundry industry and their detection is of paramount importance in maintaining product quality. Due to the unpredictable factory environment and metallic, with highly reflective, nature of aluminum die-castings, it is extremely hard to estimate true dimensionality of the die-casting, autonomously. In this work, we propose a novel robust 3D reconstruction algorithm capable of reconstructing dimensionally accurate 3D depth models of the aluminum die-castings. The developed system is very simple and cost effective as it consists of only a stereo cameras pair and a simple fluorescent light. The developed system is capable of estimating surface depths within the tolerance of 1.5 mm. Moreover, the system is invariant to illuminative variations and orientation of the objects in the input image space, which makes the developed system highly robust. Due to its hardware simplicity and robustness, it can be implemented in different factory environments without a significant change in the setup.