Three-Dimensional Facial Imaging Using a Static Light Screen (SLS) and a Dynamic Subject

McKeon, R.T.; Flynn, Patrick J.

doi:10.1109/tim.2009.2037874

Cited by 16 publications

(4 citation statements)

References 30 publications

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“…Temporally encoded projection patterns require comparison of consecutive frames. Previous studies have shown that slowly moving human body parts and internal organs can be reconstructed using binary (Ackerman et al, 2002;McKeon and Flynn, 2010) and phase-shifted (Lohry and Zhang, 2014;Wang et al, 2013) temporal coding. During pilot experiments, we determined that this method is too slow to be automated for bird flight.…”

Section: Introductionmentioning

confidence: 99%

High-speed surface reconstruction of a flying bird using structured-light

Deetjen

Biewener

Lentink

2017

Journal of Experimental Biology

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Birds fly effectively and maneuver nimbly by dynamically changing the shape of their wings during each wingbeat. These shape changes have yet to be quantified automatically at high temporal and spatial resolution. Therefore, we developed a custom 3D surface reconstruction method, which uses a high-speed camera to identify spatially encoded binary striped patterns that are projected on a flying bird. This non-invasive structured-light method allows automated 3D reconstruction of each stand-alone frame and can be extended to multiple views. We demonstrate this new technique by automatically reconstructing the dorsal surface of a parrotlet wing at 3200 frames s −1 during flapping flight. From this shape we analyze key parameters such as wing twist and angle of attack distribution. While our binary 'single-shot' algorithm is demonstrated by quantifying dynamic shape changes of a flying bird, it is generally applicable to moving animals, plants and deforming objects.

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Section: Introductionmentioning

confidence: 99%

High-speed surface reconstruction of a flying bird using structured-light

Deetjen

Biewener

Lentink

2017

Journal of Experimental Biology

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“…In paper [5], the automatic image processing algorithms is introduced to deal with the reduction of noise during calibration of the camera and experimental results showed that the measurement accuracy increases considerably. Image matching technique is involved in paper [6] to match multirole biometric for 3-D facial acquisition using a static light screen and a moving object. Based on the past research, we realize that image processing algorithms plays an important role in the structured light systems, at the same time, extracting useful structure information in visual scenes is an important low-level operation in 3D information processing system to guarantee the measurement accuracy in many applications.…”

Section: Introductionmentioning

confidence: 99%

An Efficient and Robust Stripe Extraction Method for Structured Light Measurement System

Yang

Wang

2017

Proceedings of the International Conference on Advances in Image Processing

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Stripe extraction methods are a fundamental step for the structured light three-dimensional measurement systems. This work proposes an efficient and robust stripe extraction method for structured light measurement system. In this paper, a novel method for extracting the stripes from structured laser lights is presented which is based on the Steger stripe extraction algorithm used to identify the structure of light stripe and smoothing spline fitting algorithm for interpolation to obtain single continuous stripe and the coordinates of the clustered stripes are calculated to form a phase map through a cubic polynomial interpolation procedure. The experimental results show that the work is particularly efficient and robust.

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Section: Introductionmentioning

confidence: 99%

Image processing algorithm for extracting the phase map from structured lights

Yang

Wang

2017

2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP)

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Abstract-In structured light three-dimensional measurement systems, the position of stripe in the structure light image reflects the three-dimensional shape information of the object being scanned. In this paper, we propose a semi-automatic 3D image processing algorithm that extracts the phase map from the distorted line pattern. The proposed method uses the stripe extraction approach to segment and cluster the stripe projected over the inspected object after Gaussian convolution denoising. Then a noise-aware smoothing spline fitting process is applied to the result to obtain single continuous stripe and the coordinates of the clustered stripes are calculated to form a phase matrix through a cubic polynomial interpolation procedure. After the camera and projector calibration, the 3D coordinates of the object are computed accurately and robustly. The experimental results show that the work is particularly effective.

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Three-Dimensional Facial Imaging Using a Static Light Screen (SLS) and a Dynamic Subject

Abstract: Abstract

Cited by 16 publications

References 30 publications

High-speed surface reconstruction of a flying bird using structured-light

High-speed surface reconstruction of a flying bird using structured-light

An Efficient and Robust Stripe Extraction Method for Structured Light Measurement System

Image processing algorithm for extracting the phase map from structured lights

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