摘要
针对光场相机同时记录光线位置信息和角度信息,提出估计光场图像深度的新方法。根据光场摄像技术的数字重聚焦原理,产生场景不同焦深的图像序列;采用基于目标区域的可变窗口清晰度评价算子对目标在图像序列中的聚焦度进行测量,通过高斯插值获得最清晰的成像位置作为深度求取结果。以基于微透镜阵列的Lytro光场相机为例,实验结果表明,在降低现有算法时间复杂度的基础上,该方法提取的深度图可靠,证明了该方法的可行性与优越性。
Contrast with traditional digital camera,light field camera captures both the space and angle information of the ray of light traveling across the camera,a new method was put forward to estimate the depth of light field images. According to the principle of light field photography technology and digital refocusing,a series of images of the scene that focused was produced at different depth. Clarity evaluation operator based on the target area and variable window size to measure the focus of target in image sequence was adopt,then search for the most focus image position combined with Gaussian interpolation to calculate the depth of target. The camera of Lytro was showed,for example,besides reducing the existing algorithm time complexity,proves the feasibility and effectiveness of this method to gain accurate depth map of scenes.
出处
《科学技术与工程》
北大核心
2016年第17期71-75,共5页
Science Technology and Engineering
基金
国家自然科学基金项目(61379080)
国家科技支撑计划基金项目(2013BAH45F02)资助
关键词
深度估计
光场图像
数字重聚焦
聚焦测距
depth estimation
light field photography
digital refocusing
depth from focus
