光学学报, 2015, 35 (4): 0411002, 网络出版: 2015-04-03   

基于多视差函数拟合的集成成像深度提取方法

Depth Extraction Based on Function Fitting for Multiple Disparities in Integral Imaging
作者单位
长春理工大学电子信息工程学院, 吉林 长春 130022
摘要
集成成像系统采用微透镜阵列记录空间场景信息,只有一次成像过程,在获取场景深度时,不存在相机的参数设置和校准问题,简化了深度测量过程,具有很大优势。但是由于该系统采集的元素图像分辨率低,容易受记录噪声影响,元素图像之间匹配困难。基于集成成像系统能够计算重构出多幅视图的优势,充分利用多幅视图提供的冗余信息来改善立体匹配情况。采用颜色相似性的自适应窗口在参考视图与其他视图之间进行立体匹配,得到参考视图与其他视图之间的视差信息,利用视差与视图对之间的抽样距离满足正比函数关系的性质,对多个视差值进行函数拟合,减少了由于记录噪声等因素产生的误匹配,物体深度层次的分辨更加准确。
Abstract
Microlens array is used to record the information of space scenes in integral imaging system by only one imaging process. During the acquisition of the depth, the parameter setting and calibration of the camera is unnecessary, then the depth mesurement process is simplified, therefore the integral imaging has a great advantage. However, due to the low resolution of the elemental images collected in system, the stereo matching between the elemental images is difficult to reach and susceptible to the recorded noise. Based on the advantage of integral imaging system can calculateand reconstruct multiple viewing images, make full use of the redundant information provided by the multiple viewing images to improve the stereo matching. An adaptive window with color similarity is utilized in the stero matching between the reference viewing image and other viewing images to obtain the disparity information. The function fitting for the multiple disparities of the reference viewing image is performed by considering the property that the disparity is proportional to the sampling distance between this pair of viewing images. This method can eliminate the mismatch resulting from factors such as the recording noise and make the discrimination more accurate between the depth levels of the object.

王宇, 朴燕. 基于多视差函数拟合的集成成像深度提取方法[J]. 光学学报, 2015, 35(4): 0411002. Wang Yu, Piao Yan. Depth Extraction Based on Function Fitting for Multiple Disparities in Integral Imaging[J]. Acta Optica Sinica, 2015, 35(4): 0411002.

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