In the wild image retrieval and clustering for 3D cultural heritage landmarks reconstruction

Makantasis, Konstantinos; Doulamis, Anastasios; Doulamis, Nikolaos; Ιωαννίδης, Μαρίνος

doi:10.1007/s11042-014-2191-z

Cited by 64 publications

(46 citation statements)

References 34 publications

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“…The latter was employed by Makantasis et al (Makantasis et al; who used data-ltering technology to reconstruct a heritage building using only Internet images.…”

Section: Discussionmentioning

confidence: 99%

“…With the even greater advances in computing power of the last years, a new approach became popular: shape from motion 2007), which is present in several works (Manferdini;Makantasis et al;Lari et al;. This approach generally relies on a large amount of still images with considerable overlap (or a video) and works by tracking points of interest across di erent images of a set.…”

Section: Image-basedmentioning

confidence: 99%

“…Other realism techniques used in (Manferdini; were the capture and synthesis of the surrounding scene (as initially discussed by El-Hakim et al ), and the addition of level of detail (Lindstrom et al;1996), which allows applications to balance visual delity and performance as needed. Makantasis (Makantasis et al; et al took advantage of shape from motion techniques, together with their novel data-ltering algorithm, to reconstruct a large heritage building using only images obtained from the Internet; however, they present only a point cloud, instead of producing a polygonal mesh. With the recent availability of consumer-grade unmanned aerial vehicles (UAV), one study (Lari et al; has already set out to use images from UAVs to reconstruct an entire building using aerial videos and pictures, which is a good application of shape from motion techniques because of the large overlap that invariably happens between images taken from great heights.…”

Section: Image-basedmentioning

confidence: 99%

“…References Number of Studies Texture Mapping (Brusco et al;, , , (Isoda et al;, 2007), , (Lari et al;, (Manferdini;, (Ragia et al;, (Remondino;2007), (Rocchini et al;, , (Sormann et al;, (Utomo and Wibowo;2017) 14 None (Banerjee et al;, (Boochs et al;2007), (Caprioli and Scognamiglio;, (Covas et al;, (Makantasis et al;, (Pedersini et al;, (Prokos et al;, (Stentoumis et al;, (Vogiatzis and Hernández;2010) …”

Section: Realism Featurementioning

confidence: 99%

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Low-cost 3D reconstruction of cultural heritage artifacts

Raimundo

Apaza-Aguero

Apolinário

2018

RBCA

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Abstract3D reconstruction methods can be used to obtain digital models by capturing the shape and appearance of real objects. Due to both scienti c and technological advances, low-cost 3D reconstruction is now widely used to reconstruct objects of reasonable geometric complexity using cheap acquisition hardware; however, it is unclear whether or not these devices produce suitable results to preserve cultural heritage artifacts. First, this paper goes over the general concept of 3D reconstruction and the main di erences between lowcost and general-purpose 3D reconstruction pipelines, these di erences are illustrated using a prototypical low-cost pipeline that has been used to reconstruct heritage artifacts. Then, we present the results of a survey conducted in order to investigate how existing low-cost 3D reconstruction approaches attempted to improve the results of their reconstructions, with an emphasis on the realistic rendering techniques they have used. Throughout the survey process, a categorization for low-cost 3D methodologies was proposed based on the scanning apparatus used by the approaches and other similarities between them. Finally, based on the surveyed studies and the results obtained with the prototypical pipeline, we conclude that it is possible to preserve heritage artifacts using low-cost approaches, granted that modern realism techniques are used to improve the appearance of the models.Key words: Low-cost 3D reconstruction; cultural heritage; digital heritage; survey. ResumoOs métodos de reconstrução 3D permitem a obtenção de modelos digitais através da captura da informação de forma e aparência dos objetos. Devido a avanços cientí cos e tecnológicos, técnicas de reconstrução 3D de baixo custo se tornaram amplamente utilizadas para reconstruir objetos com geometria razoavelmente complexa usando dispositivos de aquisição de baixo custo; no entanto, ainda é discutível a aplicabilidade desses dispositivos de baixo custo para preservação de artefatos culturais. Primeiramente, esse trabalho introduz a área de reconstrução 3D e discute as principais diferenças entre metodologias de reconstrução de baixo custo e metodologias de reconstrução de propósito geral, essas diferenças são ilustradas ao ser apresentado um protótipo de metodologia de baixo custo que foi utilizado para reconstrução de artefatos culturais. Posteriormente, são apresentados os resultados de um levantamento realizado a m de investigar como as propostas existentes de reconstrução de baixo custo visaram melhorar a qualidade das reconstruções geradas, com ênfase nas técnicas de renderização realista utilizadas. Ao longo da realização do levantamento, foi proposta uma categorização dos estudos investigados levando em consideração o aparato de escaneamento utilizado e outras similaridades. Ao m, com base nos estudos levantados e nos resultados obtidos usando a metodologia apresentada, conclui-se que é possível a utilização de metodologias de reconstrução de baixo custo para preservação de artefatos culturais, uma vez que sejam utilizad...

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“…The latter was employed by Makantasis et al (Makantasis et al; who used data-ltering technology to reconstruct a heritage building using only Internet images.…”

Section: Discussionmentioning

confidence: 99%

Section: Image-basedmentioning

confidence: 99%

Section: Image-basedmentioning

confidence: 99%

Section: Realism Featurementioning

confidence: 99%

See 2 more Smart Citations

Low-cost 3D reconstruction of cultural heritage artifacts

Raimundo

Apaza-Aguero

Apolinário

2018

RBCA

View full text Add to dashboard Cite

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“…The ORB(Oriented Fast and Rotated BRIEF) algorithm proposed by Rublee et al [33] has fast speed and high efficiency, which is widely applied in image-based matching. Makantasis et al [22] utilized ORB to deal with image filtering from removing outlines as to perform a 3D image retrieval from the wild. Based on ORB algorithm, Mur-Artal et al [27] proposed a feature-based monocular SLAM system operated in real-time, in small and large, indoor and outdoor environments.…”

Section: Introductionmentioning

confidence: 99%

A next best view method based on self-occlusion information in depth images for moving object

Zhang

et al. 2018

Multimed Tools Appl

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The determination of next best view of a camera for moving object has wide application in dynamic object scenario, such as unmanned aerial vehicle and automatic recognition. The major challenge of this problem is how to determine the next best view while the visual object is moving. In this work, a novel next best view method based on selfocclusion information in depth images of moving object is proposed. Firstly, a depth image of moving object is acquired and self-occlusion detection is utilized in the acquired image. On this basis, the self-occlusion regions are modeled by utilizing space quadrilateral subdivision. Secondly, according to the modeling result, a method based on the idea of mean shift is proposed to calculate the result of self-occlusion avoidance corresponding to the current object. Thirdly, the second depth image of moving object is acquired, and the feature points in two images are detected and matched, then the 3D motion estimation is accomplished by the 3D coordinates of feature points which are matched. Finally, the next best view is determined by combining the result of self-occlusion avoidance and 3D motion estimation. Experimental results validate that the proposed method is feasible and has relatively high real-time performance.Multimed Tools Appl (2018) 77:9753-9777 https://doi

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