Computer Vision Based 3D Reconstruction : A Review

Ham, Hanry; Wesley, Julian; Hendra, Hendra

doi:10.11591/ijece.v9i4.pp2394-2402

Cited by 37 publications

(24 citation statements)

References 27 publications

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“…Many studies are currently under way on joint tracking or data processing with two-dimensional cameras [22][23][24]. Therefore, three-dimensional cameras were used for implementation, but basic operations will be performed in two-dimensional camera images to achieve accurate results.…”

Section: Resultsmentioning

confidence: 99%

A study on the development of joint tracking-based exercise contents technology for improving the strength of older people

Choi

Kim

Jang

2021

IJECE

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Currently, Korea's population is aging rapidly, and there is a lot of interest in the area of life in old age. Especially, as you get older, your ability to exercise gradually decreases, and you need to exercise continuously for your health. As a result, Korea older people exercise more than welfare powerhouse Japan. However, recently studies show that physical function lags even further. The results are based on a lack of diversity in motion. In Korea, people enjoy walking, hiking, and riding bicycles, but in Japan, there is a difference in the quality of exercise such as muscle-building exercise class, ball exercise, and underwater exercise. The old Korean ways of exercising are all high-intensity sports, but some do not know whether the purpose is for social club purposes. In this paper, real-time joint tracking using a single camera and deep learning was carried out to study the development direction of content that can measure or improve exercise ability to improve actual muscle strength.

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Section: Resultsmentioning

confidence: 99%

A study on the development of joint tracking-based exercise contents technology for improving the strength of older people

Choi

Kim

Jang

2021

IJECE

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“…Another important technical issue in the XR discourse is virtual content creation. Currently, building a realistic-looking and geometrically correct 3D model of a physical object involves a relatively complex set of operations [81][82][83]. Input data are typically one (or a mixture) of the various forms of imaging and scanning, such as photography, radar/LiDAR, ultrasound, and tomography.…”

Section: Bottlenecks In 3d Reconstruction and The Emerging Role Of Armentioning

confidence: 99%

“…The following steps involve intense computational power and careful manual work using a multitude of software. In this process, there are bottlenecks, including the segmentation of imagery, subsequent topological problems, processes of construction of solid surfaces, polygonal models, data optimization, and including 'physics' for motion (animation, interactivity) [81][82][83]. Some of these steps can be automated or at least performed semi-automatically.…”

Section: Bottlenecks In 3d Reconstruction and The Emerging Role Of Armentioning

confidence: 99%

Extended Reality in Spatial Sciences: A Review of Research Challenges and Future Directions

Çöltekin

Lochhead

Madden

et al. 2020

IJGI

186

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This manuscript identifies and documents unsolved problems and research challenges in the extended reality (XR) domain (i.e., virtual (VR), augmented (AR), and mixed reality (MR)). The manuscript is structured to include technology, design, and human factor perspectives. The text is visualization/display-focused, that is, other modalities such as audio, haptic, smell, and touch, while important for XR, are beyond the scope of this paper. We further narrow our focus to mainly geospatial research, with necessary deviations to other domains where these technologies are widely researched. The main objective of the study is to provide an overview of broader research challenges and directions in XR, especially in spatial sciences. Aside from the research challenges identified based on a comprehensive literature review, we provide case studies with original results from our own studies in each section as examples to demonstrate the relevance of the challenges in the current research. We believe that this paper will be of relevance to anyone who has scientific interest in extended reality, and/or uses these systems in their research.

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“…Meanwhile, 3D reconstruction technologies have demonstrated huge application potential and advantages in the medical, aviation, industrial and military fields and thus are widely used with a wealth of breakthroughs after years of exploration, receiving widespread attention [9]. Three-dimensional digitizing for cultural artifacts and archaeological site protection has also become a research and application hotspot [10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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

Wang

et al. 2020

Remote Sensing

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3D reconstruction of culture artifacts has great potential in digital heritage documentation and protection. Choosing the proper images for texture mapping from multi-view images is a major challenge for high precision and high quality 3D reconstruction of culture artifacts. In this study, a texture selection approach, considering both the geometry and radiation quality for 3D reconstruction of cultural artifacts while using multi-view dense matching is proposed. First, a Markov random field (MRF) method is presented to select images from the best angle of view among texture image sets. Then, an image radiation quality evaluation model is proposed in the virtue of a multiscale Tenengrad definition and brightness detection to eliminate fuzzy and overexposed textures. Finally, the selected textures are mapped to the 3D model under the mapping parameters of the multi-view dense matching and a semi-automatic texture mapping is executed on the 3DMax MudBox platform. Experimental results with two typical cultural artifacts data sets（bronze wares and porcelain）show that the proposed method can reduce abnormal exposure or fuzzy images to yield high quality 3D model of cultural artifacts.

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Computer Vision Based 3D Reconstruction : A Review

Cited by 37 publications

References 27 publications

A study on the development of joint tracking-based exercise contents technology for improving the strength of older people

A study on the development of joint tracking-based exercise contents technology for improving the strength of older people

Extended Reality in Spatial Sciences: A Review of Research Challenges and Future Directions

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

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