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Dive into the research topics where Fengqiang Li is active.

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Featured researches published by Fengqiang Li.


european conference on computer vision | 2016

A Streamlined Photometric Stereo Framework for Cultural Heritage

Chia Kai Yeh; Nathan Matsuda; Xiang Huang; Fengqiang Li; Marc Walton; Oliver Cossairt

In this paper, we propose a streamlined framework of robust 3D acquisition for cultural heritage using both photometric stereo and photogrammetric information. An uncalibrated photometric stereo setup is augmented by a synchronized secondary witness camera co-located with a point light source. By recovering the witness camera’s position for each exposure with photogrammetry techniques, we estimate the precise 3D location of the light source relative to the photometric stereo camera. We have shown a significant improvement in both light source position estimation and normal map recovery compared to previous uncalibrated photometric stereo techniques. In addition, with the new configuration we propose, we benefit from improved surface shape recovery by jointly incorporating corrected photometric stereo surface normals and a sparse 3D point cloud from photogrammetry.


Optics Express | 2017

CS-ToF: High-resolution compressive time-of-flight imaging

Fengqiang Li; Huaijin Chen; Adithya Kumar Pediredla; Chia-Kai Yeh; Kuan He; Ashok Veeraraghavan; Oliver Cossairt

Three-dimensional imaging using Time-of-flight (ToF) sensors is rapidly gaining widespread adoption in many applications due to their cost effectiveness, simplicity, and compact size. However, the current generation of ToF cameras suffers from low spatial resolution due to physical fabrication limitations. In this paper, we propose CS-ToF, an imaging architecture to achieve high spatial resolution ToF imaging via optical multiplexing and compressive sensing. Our approach is based on the observation that, while depth is non-linearly related to ToF pixel measurements, a phasor representation of captured images results in a linear image formation model. We utilize this property to develop a CS-based technique that is used to recover high resolution 3D images. Based on the proposed architecture, we developed a prototype 1-megapixel compressive ToF camera that achieves as much as 4× improvement in spatial resolution and 3× improvement for natural scenes. We believe that our proposed CS-ToF architecture provides a simple and low-cost solution to improve the spatial resolution of ToF and related sensors.


Applied Optics | 2017

High-depth-resolution range imaging with multiple-wavelength superheterodyne interferometry using 1550-nm lasers

Fengqiang Li; J. Yablon; Andreas Velten; Mohit Gupta; Oliver Cossairt

Lasers and laser diodes are widely used as illumination sources for optical imaging techniques. Time-of-flight (ToF) cameras with laser diodes and range imaging based on optical interferometry systems using lasers are among these techniques, with various applications in fields such as metrology and machine vision. ToF cameras can have imaging ranges of several meters, but offer only centimeter-level depth resolution. On the other hand, range imaging based on optical interferometry has depth resolution on the micrometer and even nanometer scale, but offers very limited (sub-millimeter) imaging ranges. In this paper, we propose a range imaging system based on multi-wavelength superheterodyne interferometry to simultaneously provide sub-millimeter depth resolution and an imaging range of tens to hundreds of millimeters. The proposed setup uses two tunable III-V semiconductor lasers and offers leverage between imaging range and resolution. The system is composed entirely of fiber connections except the scanning head, which enables it to be made into a portable device. We believe our proposed system has the potential to tremendously benefit many fields, such as metrology and computer vision.


Computational Imaging III | 2018

High spatial resolution time-of-flight imaging

Fengqiang Li; Huaijin Chen; Chia-Kai Yeh; Ashok Veeraraghavan; Oliver Cossairt

Continuous wave time-of-flight (ToF) cameras have been rapidly gaining widespread adoption in many applications due to their cost effectiveness, simplicity, and compact size. However, the current generation of ToF cameras suffers from low spatial resolution due to physical fabrication limitations. In this paper, we propose an imaging architecture to achieve high spatial resolution ToF imaging using optical multiplexing and compressive sensing (CS). Our approach is based on the observation that, while depth is non-linearly related to ToF pixel measurements, a phasor representation of captured images results in a linear image formation model. We utilize this property to develop a CS-based technique that is used to recover high resolution 3D images. Based on the proposed architecture, we developed a prototype 1-megapixel compressive ToF camera that achieves as much as 4 x improvement in spatial resolution. We believe that our proposed architecture provides a simple and low-cost solution to improve the spatial resolution of ToF and related sensors.


SPIE Commercial + Scientific Sensing and Imaging | 2017

Fluorescence lifetime estimation using a dynamic vision sensor

Fengqiang Li; Nathan Matsuda; Marc Walton; Oliver Cossairt

A current focus of art conservation research seeks to accurately identify materials, such as oil paints or pigments, used in a work of art. Since many of these materials are fluorescent, measuring the fluorescence lifetime following an excitation pulse is a useful non-contact, quantitative method to identify pigments. In this project, we propose a simple method using a dynamic vision sensor to efficiently characterize the fluorescence lifetime of a common pigment named Egyptian Blue, which is consistent with x-ray techniques. We believe our fast, compact and cost-effective method for fluorescence lifetime analysis is useful in art conservation research and potentially a broader range of applications in chemistry and materials science.


international conference on computational photography | 2018

SH-ToF: Micro resolution time-of-flight imaging with superheterodyne interferometry

Fengqiang Li; Florian Willomitzer; Prasanna Rangarajan; Mohit Gupta; Andreas Velten; Oliver Cossairt


Microscopy and Microanalysis | 2018

A Novel OCT Design for Cultural Heritage Applications

Danielle Duggins; Fengqiang Li; Maurice Aalders; Oliver Cossairt; Aggelos K. Katsaggelos; Marc Walton


Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP) | 2018

Non-Line-of-Sight Imaging using Superheterodyne Interferometry

Florian Willomitzer; Fengqiang Li; Prasanna Rangarajan; Oliver Cossairt


Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP) | 2018

Compressive Time-of-Flight Imaging

Fengqiang Li; Huaijin Chen; Chia-Kai Yeh; Adithya Kumar Pediredla; Kuan He; Ashok Veeraghvan; Oliver Cossairt


Imaging and Applied Optics 2018 (3D, AO, AIO, COSI, DH, IS, LACSEA, LS&C, MATH, pcAOP) | 2018

Micro Resolution Time-of-Flight Imaging

Fengqiang Li; Florian Willomitzer; Prasanna Rangarajan; Andreas Velten; Mohit Gupta; Oliver Cossairt

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Marc Walton

Northwestern University

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Chia-Kai Yeh

Northwestern University

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Andreas Velten

University of Wisconsin-Madison

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Prasanna Rangarajan

Southern Methodist University

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