Creation of a Depth Map from Stereo Images of Faces for 3D Model Reconstruction

Krutikova, Olga; Sisojevs, Aleksandrs; Kovalovs, Mihails

doi:10.1016/j.procs.2017.01.159

Cited by 14 publications

(8 citation statements)

References 5 publications

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“…In this technique, several steps are executed such that masking photos from the respective background, photo mesh analysis, and lastly texturing step. is was so far static image and object approach but later in [30], and image-based model reconstruction was introduced using a single moving camera that led to the real-time 3D mapping of surroundings as shown in Figure 4. In this figure, Figure 4(a) is the original RGB image whereas Figure 4(b) is the mapped image based on thermal 3D model reconstruction methodology.…”

Section: Model Reconstruction Through Photogrammetrymentioning

confidence: 99%

See 1 more Smart Citation

Internet of Things (IoT)-Enabled Unmanned Aerial Vehicles for the Inspection of Construction Sites: A Vision and Future Directions

Israr

Abro

Khan

et al. 2021

Mathematical Problems in Engineering

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Today people are witnessing the rapid evolvement in every area. This is because of the emerging trends in communication technology and autonomous unmanned vehicles. These trends have led us towards the high standards of health, energy, transportation, monitoring, and surveillance of huge domestic and industrial projects. Thus, this review paper presents the integration of the latest trend in communication technology, i.e., Internet of things (IoT) with unmanned aerial vehicles (UAVs). This manuscript not only reviews the use of IoT-enabled unmanned aerial vehicles for inspecting the several construction sites but also emphasizes the utilization of such IoT-enabled autonomous aerial vehicles for ensuring the health and safety measures at the site. It discusses the major limitations and shortcomings of state-of-the-art techniques for the same purpose, i.e., optimization issues in path planning, lightweight artificial intelligence (AI) and computer vision algorithms, coordination in communication using IoT, and scalability of IoT network. Thus, this paper shall help the reader to explore different open research problems in-depth.

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Section: Model Reconstruction Through Photogrammetrymentioning

confidence: 99%

“…e construction of a 3D model based on stereo images is known as stereophotogrammetry. is technique is used for creating several models such that the human face [30]. is approach involves with spatial-temporal stereo-matching algorithms with noise rejection.…”

Section: Model Reconstruction Through Photogrammetrymentioning

confidence: 99%

Internet of Things (IoT)-Enabled Unmanned Aerial Vehicles for the Inspection of Construction Sites: A Vision and Future Directions

Israr

Abro

Khan

et al. 2021

Mathematical Problems in Engineering

View full text Add to dashboard Cite

show abstract

“…The concept of using depth maps is very common in other computer vision applications (e.g. [14,15]) but has not been introduced for three-dimensional flow reconstructions so far. Besides the low memory requirement, the calculation of the depth map can also be efficiently implemented by using fast ray-triangle intersection algorithms [22].…”

Section: Obtaining Object Informationmentioning

confidence: 99%

“…Here, we introduce the concept of depth maps for LPT, which are already widely used in various other fields of computer vision (e.g. [14,15]), but have not yet been fully utilized in the experimental fluid dynamics community. For the purpose of particle reconstruction, they offer a more memory efficient way of encoding the object information compared to the voxelized 3D masks, since only an additional 2D image must be stored for each camera instead of a whole volumetric grid.…”

Section: Introductionmentioning

confidence: 99%

Lagrangian particle tracking in the presence of obstructing objects

Wieneke,

Rockstroh

2024

Meas. Sci. Technol.

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Volumetric flow measurement techniques have become the state-of-the-art for characterizing a broad range of different flow fields. Still, certain major limitations are present, which hinders the application of these techniques for some of the more complex flow configurations. In particular, flow measurements involving the presence of obstructing objects require time consuming measurement strategies and careful adjustment of the experimental equipment to avoid inaccurate measurement results. Within this study, these limitations are mitigated by the use of a known object's shape and position in the form of depth maps for commonly used Lagrangian particle tracking (LPT) schemes like Shake-the-Box (STB) as well as in volume self-calibration (VSC) methods. The incorporation of these depth maps is computationally inexpensive and straight forward to implement. In order to evaluate the performance of this novel object-aware Lagrangian particle tracking (OA-LPT) approach, synthetic as well as experimental test data is created and the reconstruction quality is evaluated. It is shown, that OA-LPT is capable of providing full flow-field information, whereas the default STB implementation fails to correctly reconstruct particles in the partly-occluded regions.

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“…In recent decades, research investigating methods for 3D reconstruction from images has thrived. Examples of approaches include Structure-from-Motion (SfM) algorithms [49,47,50,35,7,36] and stereo reconstruction (Stereo3D) algorithms [19,4,18,14,29]. These approaches are the algorithms that can be used as components of a SLAM system.…”

Section: Introductionmentioning

confidence: 99%

Active noise control for centrifugal and axial fans

2020

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Fans are widely used in industry for heat dissipation or airflow production. It is achieved by driving a motor of fan to rotate a number of blades. Most industrial fans can be categorized into one of two general types: centrifugal fans and axial fans. However, fan noise is loud when the motor speed is high. This article develops using active noise control (ANC) system to reduce noise from both centrifugal and axial fans. By integrating loudspeakers and microphones, we present multiple-channel feedback ANC structure with the filtered-X least mean square (FXLMS) algorithm to simultaneously reduce noise from the inlet and the outlet of the fans. Several realtime experiments verify that the proposed method and experimental setup not only reduces the narrowband noise but also achieves the global cancellation of the fan noise.

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Creation of a Depth Map from Stereo Images of Faces for 3D Model Reconstruction

Cited by 14 publications

References 5 publications

Internet of Things (IoT)-Enabled Unmanned Aerial Vehicles for the Inspection of Construction Sites: A Vision and Future Directions

Internet of Things (IoT)-Enabled Unmanned Aerial Vehicles for the Inspection of Construction Sites: A Vision and Future Directions

Lagrangian particle tracking in the presence of obstructing objects

Active noise control for centrifugal and axial fans

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