Depth estimation for automotive with tilted optics imaging

Depth estimation for automotive with tilted optics imaging
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利用倾斜光学成像进行汽车深度估计

DOI:
10.1109/icip.2014.7025782
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发表时间:
2014
期刊:
2014 IEEE International Conference on Image Processing (ICIP)
影响因子:
--
通讯作者:
T. Hamamoto
T. Hamamoto
中科院分区:
--
文献类型:
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作者:
Hiroshi Ikeoka;T. Murata;Maiki Okuwaki;T. Hamamoto

文献摘要

被引文献

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我们一直在研究用于汽车应用的深度估计系统。传统的立体相机测量方法对由于振动和温度引起的基线长度的微小变化过于敏感。相反,通过聚焦使用单目相机的方法不能提供广域估计和实时估计之间的平衡。因此,我们提出了一种新的方法,采用倾斜的透镜光学。在该方法中,锐焦平面(POF)位于景深(DOF)向深度方向扩大。在此,我们可以使用具有光谱的单目相机系统从仅两个倾斜光学图像的锐度值获得每个像素处的深度值。
We have been investigating a depth estimation system for use in automobile applications. Conventional methods with stereo camera are too sensitive to slight variations of baseline length due to vibration and temperature. Conversely, the method that uses a monocular camera by focusing cannot provide a balance between wide-area estimation and realtime estimation. Therefore, we proposed a novel method that adopts tilted lens optics. In this method, the plane of sharp focus (POF) lies and the depth of field (DOF) enlarges toward the depth direction. Herein, we can obtained depth values at each pixel from the sharpness values of only two tilted optics images using monocular camera system with spectroscopic.