A comparison of methods for 3D scene shape retrieval

Yuan, Juefei; Abdul-Rashid, Hameed; Li, Bo; Lu, Yijuan; Schreck, Tobias; Bai, Song; Bai, Xiang; Bui, Ngoc Minh; Minh, N.; Do, Trong Le; Duong, Anh Duc; He, Kai; Holenderski, Mike; Jarnikov, Dmitri; Le, Tu; Li, Wenhui; Liu, An-An; Liu, Xiaolong; Menkovski, Vlado; Nguyen, Khac Tuan; Nguyen, Thanh An; Nguyen, Vy T.; Nie, Weizhi; Ninh, Van Tu; Rey, Perez; Su, Yuting; Ton-That, Vinh; Tran, Minh Triet; Wang, Tianyang; Xiang, Shijun; Zhe, Shandian; Zhou, Heyu; Zhou, Yang; Zhou, Zhichao

doi:10.1016/j.cviu.2020.103070

Cited by 7 publications

(5 citation statements)

References 14 publications

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“…3D visualization digital technology is a new force of computer technology, 3D visualization digital technology has been in many application elds, and gradually popularized because it is good at management, analysis and prediction, and other functions. At present, 3D visualization technology has also begun to be widely used in landscape design and expression, expanding the new eld of landscape design [2,3]. However, the application research in the landscape is still immature, and there are few practical applications of more e ective technologies in the expression of landscape design schemes, so it is necessary to further explore and excavate its advantages and connotations.…”

Section: Introductionmentioning

confidence: 99%

Computer 3D Scene Simulation of Ecological Landscape Layout Planning

Tong

Yun

2022

Advances in Multimedia

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There are some problems in traditional 3D landscape construction and virtual display, such as inflexible landscape spatial organization and limitations of virtual garden simulation in reality. Virtual reality, virtual plants and geographic information systems, and other technologies are used. Based on parameterized method in constructing 3D landscape scene, the main elements of the landscape were, respectively, constructed and rendered in 3D model, and a complete 3D landscape scene construction model was formed. OpenGL shader language was used for rendering, improved NSGA-II algorithm was used with the help of bionic logic of the genetic evolution process to achieve landscape land allocation optimization. The experimental result shows: through 3D scene view clipping hierarchical detail model and other techniques, the frame rate of 3D landscape vegetation scene drawing was improved. The interactive 3D scene browsing is realized, and the six-degree-of-freedom omni-directional display of the whole landscape is provided.

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Section: Introductionmentioning

confidence: 99%

Computer 3D Scene Simulation of Ecological Landscape Layout Planning

Tong

Yun

2022

Advances in Multimedia

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“…Each space represents a different range of color gamuts, and the specific calculation method is slightly different. Because the RGB color space is the most used and has a high matching degree in optical and physical equipment, it has the advantages of simple calculation and easy storage ( Yuan et al., 2020 ). In the present work, the RGB space was selected to extract the color information of the Chinese rose as follows:…”

Section: Methodsmentioning

confidence: 99%

Feature extraction of 3D Chinese rose model based on color and shape features

et al. 2022

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Flower classification is of great importance to the research fields of plants, food, and medicine. Due to more abundant information on three-dimensional (3D) flower models than two-dimensional 2D images, it makes the 3D models more suitable for flower classification tasks. In this study, a feature extraction and classification method were proposed based on the 3D models of Chinese roses. Firstly, the shape distribution method was used to extract the sharpness and contour features of 3D flower models, and the color features were obtained from the Red-Green-Blue (RGB) color space. Then, the RF-OOB method was employed to rank the extracted flower features. A shape descriptor based on the unique attributes of Chinese roses was constructed, χ2 distance was adopted to measure the similarity between different Chinese roses. Experimental results show that the proposed method was effective for the retrieval and classification tasks of Chinese roses, and the average classification accuracy was approximately 87%, which can meet the basic retrieval requirements of 3D flower models. The proposed method promotes the classification of Chinese roses from 2D space to 3D space, which broadens the research method of flower classification.

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“…Author details 1 i3mainz, Hochschule Mainz, Mainz, Germany. 2 Römisch-Germanisches Zentralmuseum, Mainz, Germany.…”

Section: Authors' Contributionsmentioning

confidence: 99%

“…However, there is an upcoming demand for mixing and merging collections of 3D datasets for reuse to answer research questions in larger contexts like machine learning of period classification of clay tablets [1] or enabling search capabilities of databases, i.e. shape based retrieval of 3D models [2]. Therefore, the interoperability of collections of 3D datasets becomes an emerging topic.…”

Section: Introductionmentioning

confidence: 99%

Metadata schema and ontology for capturing and processing of 3D cultural heritage objects

et al. 2021

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Motivated by the increased use of 3D acquisition of objects by cultural heritage institutions, we were investigating ontologies and metadata schemes for the acquisition process to provide details about the 3D capturing, which can be combined with preexisting ontologies describing an object. Therefore we divided the 3D capturing workflow into common steps starting with the object being placed in front of a 3D scanner to preparation and publication of the 3D datasets and/or derived images. While the proposed ontology is well defined on a coarse level of detail for very different techniques, e.g. Stucture from Motion and LiDAR we elaborated the metadata scheme in very fine detail for 3D scanners available at our institutions. This includes practical experiments with measurement data from past and current projects including datasets published at Zenodo as guiding examples and the source code for their computation. Additionally, the free and Open Source GigaMesh Software Framework’s analysis and processing methods have been extended to provide metadata about the 3D processing steps like mesh cleaning as well as 2D image generation. Finally, we discuss the current limitations and give an outlook about future extensions.

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A comparison of methods for 3D scene shape retrieval

Cited by 7 publications

References 14 publications

Computer 3D Scene Simulation of Ecological Landscape Layout Planning

Computer 3D Scene Simulation of Ecological Landscape Layout Planning

Feature extraction of 3D Chinese rose model based on color and shape features

Metadata schema and ontology for capturing and processing of 3D cultural heritage objects

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