Focal Flow: Velocity and Depth from Differential Defocus Through Motion

被引:6
作者
Alexander, Emma [1 ]
Guo, Qi [1 ]
Koppal, Sanjeev [2 ]
Gortler, Steven J. [1 ]
Zickler, Todd [1 ]
机构
[1] Harvard Univ, Cambridge, MA 02138 USA
[2] Univ Florida, Gainesville, FL USA
基金
美国国家科学基金会;
关键词
Depth; Optical flow; Defocus; Coded aperture; Ego-motion; Computational sensing; RANGE;
D O I
10.1007/s11263-017-1051-5
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We present the focal flow sensor. It is an unactuated, monocular camera that simultaneously exploits defocus and differential motion to measure a depth map and a 3D scene velocity field. It does this using an optical-flow-like, per-pixel linear constraint that relates image derivatives to depth and velocity. We derive this constraint, prove its invariance to scene texture, and prove that it is exactly satisfied only when the sensor's blur kernels are Gaussian. We analyze the inherent sensitivity of the focal flow cue, and we build and test a prototype. Experiments produce useful depth and velocity information for a broader set of aperture configurations, including a simple lens with a pillbox aperture.
引用
收藏
页码:1062 / 1083
页数:22
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