A Texture Selection Approach for Cultural Artifact 3D Reconstruction Considering Both Geometry and Radiation Quality

Hu, Shirui; Li, Zhiyuan; Wang, Shaohua; Ai, Mingyao; Hu, Qingwu

doi:10.3390/rs12162521

Cited by 15 publications

(8 citation statements)

References 40 publications

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“…Therefore, the traditional Tenengrad method is adopted in this paper. This method not only can reduce the occurrence of local extremum after selecting a certain threshold [31], but also has good sensitivity and accuracy [32,33]. It is a common image clarity evaluation function based on gradient.…”

Section: Image Quality Evaluationmentioning

confidence: 99%

Fast Blind Deblurring of QR Code Images Based on Adaptive Scale Control

et al. 2021

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With the development of 5G technology, the short delay requirements of commercialization and large amounts of data change our lifestyle day-to-day. In this background, this paper proposes a fast blind deblurring algorithm for QR code images, which mainly achieves the effect of adaptive scale control by introducing an evaluation mechanism. Its main purpose is to solve the out-of-focus caused by lens shake, inaccurate focus, and optical noise by speeding up the latent image estimation in the process of multi-scale division iterative deblurring. The algorithm optimizes productivity under the guidance of collaborative computing, based on the characteristics of the QR codes, such as the features of gradient and strength. In the evaluation step, the Tenengrad method is used to evaluate the image quality, and the evaluation value is compared with the empirical value obtained from the experimental data. Combining with the error correction capability, the recognizable QR codes will be output. In addition, we introduced a scale control parameter to study the relationship between the recognition rate and restoration time. Theoretical analysis and experimental results show that the proposed algorithm has high recovery efficiency and well recovery effect, can be effectively applied in industrial applications.

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Section: Image Quality Evaluationmentioning

confidence: 99%

Fast Blind Deblurring of QR Code Images Based on Adaptive Scale Control

et al. 2021

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“…They are optimized and substituted using patches obtained from the high-resolution terrestrial images by the proposed approach in Figure 8u-y. In addition, to further evaluate the superiority of the proposed approach, a metric, namely a Tenengrad function based on gradient without reference image [48], is used to quantitatively compare the texture quality before and after optimization. The Tenengrad value, Ten, of an image, I, is computed as follows:…”

Section: Quality Evaluation Of Updated Texturementioning

confidence: 99%

Automatic, Multiview, Coplanar Extraction for CityGML Building Model Texture Mapping

Cheng

et al. 2021

Remote Sensing

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Most 3D CityGML building models in street-view maps (e.g., Google, Baidu) lack texture information, which is generally used to reconstruct real-scene 3D models by photogrammetric techniques, such as unmanned aerial vehicle (UAV) mapping. However, due to its simplified building model and inaccurate location information, the commonly used photogrammetric method using a single data source cannot satisfy the requirement of texture mapping for the CityGML building model. Furthermore, a single data source usually suffers from several problems, such as object occlusion. We proposed a novel approach to achieve CityGML building model texture mapping by multiview coplanar extraction from UAV remotely sensed or terrestrial images to alleviate these problems. We utilized a deep convolutional neural network to filter out object occlusion (e.g., pedestrians, vehicles, and trees) and obtain building-texture distribution. Point-line-based features are extracted to characterize multiview coplanar textures in 2D space under the constraint of a homography matrix, and geometric topology is subsequently conducted to optimize the boundary of textures by using a strategy combining Hough-transform and iterative least-squares methods. Experimental results show that the proposed approach enables texture mapping for building façades to use 2D terrestrial images without the requirement of exterior orientation information; that is, different from the photogrammetric method, a collinear equation is not an essential part to capture texture information. In addition, the proposed approach can significantly eliminate blurred and distorted textures of building models, so it is suitable for automatic and rapid texture updates.

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“…Image registration plays an important role in computer vision. Image registration is widely used in many aspects such as image matching [1][2][3][4][5][6][7], change detection [8,9], 3D reconstruction [10][11][12], guidance [13][14][15], mapping sciences [16][17][18][19][20][21], and mobile robot [22,23]. In general, image registration methods can be mainly divided into two kinds: gray-scale matching methods and feature-based matching methods.…”

Section: Introductionmentioning

confidence: 99%

Homogenized ORB Algorithm Using Dynamic Threshold and Improved Quadtree

Xiao

2021

Mathematical Problems in Engineering

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The Oriented FAST and Rotated BRIEF (ORB) algorithm has the problem that the extracted feature points are overconcentrated or even overlapped, leading to information loss of local image features. A homogenized ORB algorithm using dynamic thresholds and improved quadtree method is proposed in this paper, named Quadtree ORB (QTORB). In the feature point extraction stage, a new dynamic local threshold calculation method is proposed to enhance the algorithm’s ability to extract feature points at homogeneous regions. Then, a quadtree method is improved and adopted to manage and optimize feature points to eliminate those excessively concentrated and overlapping feature points. Meanwhile, in the feature points optimization process, different quadtree depths are set at different image pyramid levels to prevent excessive splitting of the quadtree and increase calculation speed. In the feature point description stage, local gray difference value information is introduced to enhance the saliency of the feature description. Finally, the Hamming distance is used to match points and RANSAC is used to avoid mismatches. Two datasets, namely, the optical image dataset and SAR image dataset, are used in the experiment. The experimental result shows that, considering accuracy and real-time efficiency, the QTORB can effectively improve the distribution uniformity of feature points.

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A Texture Selection Approach for Cultural Artifact 3D Reconstruction Considering Both Geometry and Radiation Quality

Cited by 15 publications

References 40 publications

Fast Blind Deblurring of QR Code Images Based on Adaptive Scale Control

Fast Blind Deblurring of QR Code Images Based on Adaptive Scale Control

Automatic, Multiview, Coplanar Extraction for CityGML Building Model Texture Mapping

Homogenized ORB Algorithm Using Dynamic Threshold and Improved Quadtree

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