Survey of structure from motion

Gao, Yi; Luo, Jiebo; Qiu, Hangping; Wu, Bo

doi:10.1109/cciot.2014.7062508

Cited by 12 publications

(2 citation statements)

References 20 publications

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“…The aim of this study was to show if SfM algorithms allow for creation of 3D models of white or shiny facades and walls Gao Y, 2014). General results show usage of different software's results with differ in accuracy, range and quality.…”

Section: Discussionmentioning

confidence: 99%

Comparative Analysis of Structure-From-Motion Software’s –An Example of Letychiv (Ukraine) Castle and Convent Buildings

Lewińska

Pargieła

2018

Journal of Applied Engineering Sciences

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Letychiv (pl. Latyczów) is a town located in central Ukraine in the Khmelnytskyi Oblast. It has a unique and complicated history. Second World War left it in ruin, destroying buildings, infrastructure and decimating its once large population. Perhaps the most prominent part of the town currently is the building Dominican convent with adjoin Letychiv Assumption Church. This object is surrounded by what is left of the previously impressive Letychiv Castle, founded by Jan Potocki in 1598. Past 30 years have been dedicated by this small Catholic parish towards rebuilding monastery-castle-church complex. Since this is an ongoing project, it was decided to perform a photographic inventory of the current state of the construction and to create a 3D digital model of the castle, facade of the church and monastery, and the altar. This task have proven to be difficult due to complicated structure of the object. Facades and inner parts of the church are almost white with limited number of distinctive elements, painted in pail gold. Elements other than white are almost identical to each other. It leads to various errors in the processing of Structure-from-motion. This article describes how various versions of SfM algorithm work thru mention difficulties, compares results in terms of accuracy, level of detail and overall look. It also describes how SfM can help to document various stages of restoration of important historical objects.

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Section: Discussionmentioning

confidence: 99%

Comparative Analysis of Structure-From-Motion Software’s –An Example of Letychiv (Ukraine) Castle and Convent Buildings

Lewińska

Pargieła

2018

Journal of Applied Engineering Sciences

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“…An essential factor in the success and precision of object 3D reconstruction is the accurate localization of the camera in a three-dimensional space [76]. As the SfM technique depends on determining the three-dimensional structure of a scene from a series of twodimensional images taken from different viewpoints, accurately determining the camera's spatial position and orientation at each viewpoint is paramount [41,77]. Inaccuracies in camera 3D localization can lead to errors in the derived depth information, the resulting three-dimensional reconstruction, and any subsequent analyses [78].…”

Section: Introductionmentioning

confidence: 99%

Improving Monocular Camera Localization for Video-Based Three-Dimensional Outer Ear Reconstruction Tasks

et al. 2023

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This work addresses challenges related to camera 3D localization while reconstructing a 3D model of an ear. This work explores the potential solution of using a cap, specifically designed not to obstruct the ear, and its efficiency in enhancing the camera localization for structure-from-motion (SfM)-based object reconstruction. The proposed solution is described, and an elaboration of the experimental scenarios used to investigate the background textures is provided; data collection and software tools used in the research are reported. The results show that the proposed method is effective, and using the cap with texture leads to a reduction in the camera localization error. Errors in the 3D location reconstruction of the camera were calculated by comparing cameras localized within typical ear reconstruction situations to those of higher-accuracy reconstructions. The findings also show that caps with sparse dot patterns and a regular knitted patterned winter hat are the preferred patterns. The study provides a contribution to the field of 3D modeling, particularly in the context of creating 3D models of the human ear, and offers a step towards more accurate, reliable, and feasible 3D ear modeling and reconstruction.

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