Discontinuity-preserving decoding of one-shot shape acquisition using regularized color
Discontinuity-preserving decoding of one-shot shape acquisition using regularized color
复制标题
使用正则化颜色的一次性形状获取的不连续性保持解码
DOI：
10.1016/j.optlaseng.2012.05.004
复制
发表时间：
2012-10-01
影响因子：
4.6
通讯作者：
Zhu, Limin
中科院分区：
文献类型：
--
作者：
Zhang, Xu;Li, Youfu;Zhu, Limin
三维场景的获取在实际应用中变得越来越重要。提出了一种只需要一幅彩色图案图像就可以测量物体表面的新方法。在我们的解码方法中，在两个步骤上进行了改进。首先，颜色识别建模为一个无监督的分类问题和K-均值采用一个新的颜色特征，称为正则化的颜色。对于无光泽、无光泽的表面，它对表面方向、照明方向和照明强度不敏感。其次，在序列匹配中，提出了一种基于窗口投票的不连续性保持方法来判断图像的正确匹配和潜在边界，并与RGB、归一化颜色、HSI等颜色特征进行了对比实验。它们的类可分性度量由散射准则和Bhattacharyya距离来评价。结果表明，正则化颜色比RGB颜色具有更高的识别能力，与HSI颜色的识别能力相当。我们的匹配方法也与传统的局部匹配方法进行了比较。结果证实，我们的六个不同的对象具有较高的精度。(C)2012爱思唯尔有限公司保留所有权利。
The 3D scene acquisition is becoming increasingly crucial in practical application. In this paper, a new method is proposed to measure the surface of objects, which just require one color pattern image. In our decoding method, advancements are made at two steps. First, color identification is modeled as an unsupervised classification problem and K-means are adopted on a new color feature, called regularized color. It is insensitive to surface orientation, illumination direction and illumination intensity for matte, dull surfaces. Second, a discontinuity-preserving method is proposed in the sequence matching, which is based on the window voting to judge correct correspondences and potential borders.In the experiments, this new color feature is compared with RGB, normalized color, HSI. Their class separability measurements are evaluated by scattering criteria and Bhattacharyya distance. The results show that regularized color has much higher discriminating power than RGB and equivalent performance with HSI. Our matching method is also compared with the traditional local matching methods. The results affirm that ours has higher accuracies on six different objects. (C) 2012 Elsevier Ltd. All rights reserved.