利用视觉目标遮挡和轮廓信息确定下一最佳观测方位

张世辉; 韩德伟; 何欢

doi:10.11999/JEIT150190

利用视觉目标遮挡和轮廓信息确定下一最佳观测方位

doi: 10.11999/JEIT150190

2.
(燕山大学信息科学与工程学院秦皇岛 066004) ②(河北省计算机虚拟技术与系统集成重点实验室秦皇岛 066004)

基金项目:

国家自然科学基金(61379065)和河北省自然科学基金 (F2014203119)

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- 被引次数: 0
出版历程
- 收稿日期: 2015-02-02
- 修回日期: 2015-08-19
- 刊出日期: 2015-12-19

Determining Next Best View Using Occlusion and Contour Information of Visual Object

2.
(School of Information Science and Engineering, Yanshan University, Qinhuangdao 066004, China)

Funds:

The National Natural Science Foundation of China (61379065)

摘要

摘要: 下一最佳观测方位的确定是视觉领域一个比较困难的问题。该文提出一种基于视觉目标深度图像利用遮挡和轮廓信息确定下一最佳观测方位的方法。该方法首先对当前观测方位下获取的视觉目标深度图像进行遮挡检测。其次根据深度图像遮挡检测结果和视觉目标轮廓构建未知区域，并采用类三角剖分方式对各未知区域进行建模。然后根据建模所得的各小三角形的中点、法向量、面积等信息构造目标函数。最后通过对目标函数的优化求解得到下一最佳观测方位。实验结果表明所提方法可行且有效。
- 深度图像 /
- 遮挡 /
- 轮廓 /
- 未知区域 /
- 类三角剖分 /
- 下一最佳观测方位
Abstract: Determining cameras next best view is a difficult issue in visual field. A next best view approach based on depth image of visual object is proposed by using occlusion and contour information in this paper. Firstly, the occlusion detection is accomplished for the depth image of visual object in current view. Secondly, the unknown regions are constructed according to the occlusion detection result of the depth image and the contour of the visual object, and then the unknown regions are modeled with triangulation-like. Thirdly, the midpoint, normal vector and area of each small triangle and other information are utilized to establish the objective function. Finally, the next best view is obtained by optimizing objective function. Experimental results demonstrate that the approach is feasible and effective.
- Depth image /
- Occlusion /
- Contour /
- Unknown regions /
- Triangulation-like /
- Next best view

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参考文献(18)

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