
Andrew-Hieu NguyenVietnam National University Ho Chi Minh City
Andrew-Hieu Nguyen
Ph.D.
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37
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Publications
Publications (37)
Consumer-grade red-green-blue and depth (RGB-D) sensors, such as the Microsoft Kinect and the Asus Xtion, are attractive devices due to their low cost and robustness for real-time sensing of depth information. These devices provide the depth information by detecting the correspondences between the captured infrared (IR) image and the initial image...
Digital image correlation and image registration or matching are among the most widely used techniques in the fields of experimental mechanics and computer vision, respectively. Despite their applications in separate fields, both techniques primarily involve detecting the same physical points in two or more images. In this paper, a brief technical...
In spite of the recent advances in 3D shape measurement and geometry reconstruction, simultaneously achieving fast-speed and high-accuracy performance remains a big challenge in practice. In this paper, a 3D imaging and shape measurement system is presented to tackle such a challenge. The fringe-projection-profilometry-based system employs a number...
It is demonstrated that audio information can be extracted from silent high-speed video with a simple and fast optical technique. The basic principle is that the sound waves can stimulate objects encountered in the traveling path to vibrate. The vibrations, although usually with small amplitudes, can be detected by using an image matching process....
3D shape measurement has emerged as a very useful tool in numerous fields because of its wide and ever-increasing applications. In this paper, we present a passive, fast and accurate 3D shape measurement technique using stereo vision approach. The technique first employs a scale-invariant feature transform algorithm to detect point matches at a num...
Background
The therapeutic effects of transcranial magnetic stimulation (TMS) likely stem from neuroplasticity induced by repeated sessions over time. While animal models offer insights into TMS-induced plasticity, a rodent model that faithfully replicates prolonged TMS conditions in humans is still lacking.
Objective/Hypothesis
Develop a rat mode...
Objective. The transcranial magnetic stimulation (TMS) coil induces an electric field that diminishes rapidly upon entering the brain. This presents a challenge in achieving focal stimulation of a deep brain structure. Neuronal elements, including axons, dendrites, and cell bodies, exhibit specific time constants. When exposed to repetitive TMS pul...
Importance: Identifying brain-based markers of resiliency that reliably predict who is and is not at elevated risk for developing psychopathology among children who experience adverse childhood experiences (ACEs) is important for improving our mechanistic understanding of these etiological links between child adversity and psychopathology and guidi...
The field of computer vision has been focusing on achieving accurate three-dimensional (3D) object representations from a single two-dimensional (2D) image through deep artificial neural networks. Recent advancements in 3D shape reconstruction techniques that combine structured light and deep learning show promise in acquiring high-quality geometri...
Objective: Transcranial magnetic stimulation (TMS) coil design involves a tradeoff among multiple parameters, including magnetic flux density (B), inductance (L), induced electric (E) field, focality, penetration depth, coil heating, etc. Magnetic materials with high permeability have been suggested to enhance coil efficiency. However, the introduc...
In recent years, integrating structured light with deep learning has gained considerable attention in three-dimensional (3D) shape reconstruction due to its high precision and suitability for dynamic applications. While previous techniques primarily focus on processing in the spatial domain, this paper proposes a novel time-distributed approach for...
Three-dimensional (3D) shape acquisition of objects from a single-shot image has been highly demanded by numerous applications in many fields, such as medical imaging, robotic navigation, virtual reality, and product in-line inspection. This paper presents a robust 3D shape reconstruction approach integrating a structured-light technique with a dee...
Integrating structured-light technique with deep learning for single-shot 3D imaging has recently gained enormous attention due to its unprecedented robustness. This paper presents an innovative technique of supervised learning-based 3D imaging from a single grayscale structured-light image. The proposed approach uses a single-input, double-output...
Objective. Accurate modeling of transcranial magnetic stimulation (TMS) coils with the magnetic core is largely an open problem since commercial (quasi) magnetostatic solvers do not output specific field characteristics (e.g. induced electric field) and have difficulties when incorporating realistic head models. Many open-source TMS softwares do no...
Background
Theta burst stimulation (TBS) is an efficient noninvasive neuromodulation paradigm that has been widely adopted, clinically. However, the efficacy of TBS treatment remains similarly modest as conventional 10 Hz repetitive transcranial magnetic stimulation (rTMS).
Objective/hypothesis
To develop a new TBS paradigm that enhances the effec...
Learning 3D shape representations from structured-light images for 3D reconstructions has become popular in many fields. This paper presents a new approach integrating a fringe-to-phase network with a fringe projection profilometry (FPP) technique to achieve 3D reconstructions with superior accuracy and speed performance. The proposed fringe-to-pha...
Accurate three-dimensional (3D) shape reconstruction of objects from a single image is a challenging task, yet it is highly demanded by numerous applications. This paper presents a novel 3D shape reconstruction technique integrating a high-accuracy structured-light method with a deep neural network learning scheme. The proposed approach employs a c...
Three-dimensional (3D) shape reconstruction from a monocular two-dimensional (2D) image has emerged as a highly demanded tool in many applications. This paper presents a novel 3D shape reconstruction technique that employs an end-to-end deep convolutional neural network (CNN) to transform a single speckle-pattern image into its corresponding 3D poi...
Reconstructing 3D geometric representation of objects with deep learning frameworks has recently gained a great deal of interest in numerous fields. The existing deep-learning-based 3D shape reconstruction techniques generally use a single red–green–blue (RGB) image, and the depth reconstruction accuracy is often highly limited due to a variety of...
Retrieving three-dimensional (3D) shape information from a single two-dimensional (2D) image has recently gained enormous attention in a variety of fields. In spite of recent advancements in algorithms and hardware developments, the easy-to-use characteristics and the accuracy of the 3D shape reconstruction are always of great interest. This paper...
With ever-increasing demand for three-dimensional (3D) imaging and shape measurements in a variety of fields, measurement accuracy has become of vital importance to numerous scientific and engineering applications. This paper presents an experimental investigation into the accuracy comparison of two prevalent 3D imaging and shape measurement method...
Single-shot 3D imaging and shape reconstruction has seen a surge of interest due to the ever-increasing evolution in sensing technologies. In this paper, a robust single-shot 3D shape reconstruction technique integrating the structured light technique with the deep convolutional neural networks (CNNs) is proposed. The input of the technique is a si...
For 3D imaging and shape measurement, simultaneously achieving real-time and high-accuracy performance remains a challenging task in practice. In this paper, a fringe-projection-based 3D imaging and shape measurement technique using a three-chip liquid-crystal-display (3LCD) projector and a deep machine learning scheme is presented. By encoding thr...
This paper reports the development and system analysis of a laparoscopic system based on structured illumination technique capable of three-dimensional (3-D) reconstruction of porcine intestine during surgical anastomosis (connection of tubular structures). A calibration target is used to validate the system performance and results show a depth of...
Presented in this paper is an effective technique to acquire the three-dimensional (3D) digital images of the human face without the use of active lighting and artificial patterns. The technique is based on binocular stereo imaging and digital image correlation, and it includes two key steps: camera calibration and image matching. The camera calibr...
Structured illumination (SI) technique is a classical method for depth-resolved measurement. Instead of searching for disparity correspondence, SI detects phase distribution from the fringe deformity on the object, and relates the phase information to depth measurement. The technique simplifies the depth calculation compared to the use of disparity...
Fringe projection technique and 3D digital image correction technique are widely used in experimental mechanics field for 3D shape and deformation measurements. In spite that the two techniques have fundamental similarities, they also have considerable differences. This paper presents an experimental comparison of the two techniques in terms of mea...
A method to construct audio information from silent high speed video is presented. While an audio sample is played, an object’s small vibrations generated by the sound waves are recorded by a single high-speed camera at high frame rates. Images are then analyzed using a Digital Image Correlation (DIC) scheme, where subsets of pixels are observed fo...
The 3D digital image correlation (DIC) is a very popular method for 3D shape and deformation measurements in the optics and mechanics fields. In general, the 3D DIC technique requires two calibrated cameras to simultaneously capture images of object from two different views. In practice, this can be challenging for fast- or high-speed measurements...
Fringe projection technique is one of the most widely used techniques for three-dimensional (3D) shape and deformation measurements by Wang Z, Nguyen DA, Barnes JC (2010) Some practical considerations in fringe projection profilometry. Opt Lasers Eng 48:218–225. Generally, it is a difficult task to conduct high-speed measurement with this technique...
In recent years, improving and extending the capabilities of the three-dimensional (3D) imaging to fast-speed and high-accuracy performance has been a very active research topic. Although the latest advances may help provide real-time and high-resolution measurements, to simultaneously achieve high-accuracy performance is still a big challenge. In...
Digital Image Correlation (DIC) is a widely used technique in the optics and mechanics fields for shape and deformation measurements. However, it is normally not used to measure the 3D shapes of human faces because of the requirement of speckle-pattern fabrication. In this paper, we demonstrate that the 3D DIC can be employed to reconstruct 3D imag...