Depth Fields: Extending Light Field Techniques to Time-of-Flight Imaging

被引:15
|
作者
Jayasuriya, Suren [1 ]
Pediredla, Adithya [2 ]
Sivaramakrishnan, Sriram [1 ]
Molnar, Alyosha [1 ]
Veeraraghavan, Ashok [2 ]
机构
[1] Cornell Univ, Ithaca, NY 14853 USA
[2] Rice Univ, Houston, TX 77251 USA
基金
美国国家科学基金会;
关键词
MULTIPATH INTERFERENCE; CAMERAS; SENSOR; DEMODULATION;
D O I
10.1109/3DV.2015.8
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
A variety of techniques such as light field, structured illumination, and time-of-flight (TOF) are commonly used for depth acquisition in consumer imaging, robotics and many other applications. Unfortunately, each technique suffers from its individual limitations preventing robust depth sensing. In this paper, we explore the strengths and weaknesses of combining light field and time-of-flight imaging, particularly the feasibility of an on-chip implementation as a single hybrid depth sensor. We refer to this combination as depth field imaging. Depth fields combine light field advantages such as synthetic aperture refocusing with TOF imaging advantages such as high depth resolution and coded signal processing to resolve multipath interference. We show applications including synthesizing virtual apertures for TOF imaging, improved depth mapping through partial and scattering occluders, and single frequency TOF phase unwrapping. Utilizing space, angle, and temporal coding, depth fields can improve depth sensing in the wild and generate new insights into the dimensions of light's plenoptic function.
引用
收藏
页码:1 / 9
页数:9
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