Reconstruction of a 3D Human Foot Shape Model Based on a Video Stream Using Photogrammetry and Deep Neural Networks

Shilov, Lev B.; Shanshin, Semen; Romanov, Aleksandr; Fedotova, Anastasia; Kurtukova, Anna; Kostyuchenko, Evgeny; Sidorov, Ivan

doi:10.3390/fi13120315

Cited by 11 publications

(9 citation statements)

References 39 publications

(43 reference statements)

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“…The second most popular field is medical applications. Solutions that allow recreating the shape and size of individual parts of the body [ 45 , 46 , 47 , 57 , 58 ] and models for the needs of, e.g., prostheses or plastic surgeries [ 48 , 49 , 51 , 63 ] are predominant here. In the case of geological issues, the analysis of rock porosity and roughness is a common topic [ 65 , 66 ], while in geomorphology it is popular to create digital models of various types of geomorphological forms (e.g., cliffs, caves) [ 70 , 71 ].…”

Section: Introductionmentioning

confidence: 99%

A Simple Way to Reduce 3D Model Deformation in Smartphone Photogrammetry

Jasińska

Pyka

Pastucha

et al. 2023

Sensors

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Recently, the term smartphone photogrammetry gained popularity. This suggests that photogrammetry may become a simple measurement tool by virtually every smartphone user. The research was undertaken to clarify whether it is appropriate to use the Structure from Motion—Multi Stereo View (SfM-MVS) procedure with self-calibration as it is done in Uncrewed Aerial Vehicle photogrammetry. First, the geometric stability of smartphone cameras was tested. Fourteen smartphones were calibrated on the checkerboard test field. The process was repeated multiple times. These observations were found: (1) most smartphone cameras have lower stability of the internal orientation parameters than a Digital Single-Lens Reflex (DSLR) camera, and (2) the principal distance and position of the principal point are constantly changing. Then, based on images from two selected smartphones, 3D models of a small sculpture were developed. The SfM-MVS method was used, with self-calibration and pre-calibration variants. By comparing the resultant models with the reference DSLR-created model it was shown that introducing calibration obtained in the test field instead of self-calibration improves the geometry of 3D models. In particular, deformations of local concavities and convexities decreased. In conclusion, there is real potential in smartphone photogrammetry, but it also has its limits.

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Section: Introductionmentioning

confidence: 99%

A Simple Way to Reduce 3D Model Deformation in Smartphone Photogrammetry

Jasińska

Pyka

Pastucha

et al. 2023

Sensors

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“…By taking photographs of the foot in different positions, photogrammetry can be used to create a 3D model of the foot that can be used to design custom orthotics. So, the photogrammetry is a useful tool in the assessment and treatment of foot-related conditions, as well as in the design of custom orthotics and footwear (26).…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Errors Encountered in Photogrammetric Studies on Lower Extremities

Chatzioglou¹,

Yılar

Gövsa

et al. 2023

Eur J Ther

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Objective: The aim of our study is to reveal the errors that can be encountered during the shooting of photogrammetric studies on the lower extremities. Methods: We revealed the necessary tools that used during photogrammetry measurements of the lower limb. Also, the errors have been encountered of our two previous studies performed on photogrammetry of lower limbs. The technical errors or incorrect positioning of 20 from 220 volunteers were encountered. Results: The identified errors of 20 volunteers’ photographs related to lower limb were about the inadequate quality image, calibration, poor lightining, positioning error of trunk or parts of lower limb and clothes that cover the anatomical points affected the measurements. Conclusion: Photogrammetry is an important and useful tool for evaluation, diagnosis, treatment, and efficacy monitoring. In anatomy, it is frequently used as a time-saving method in terms of measurement and evaluation in the laboratory, which can be applied and repeated for research. For this reason, errors that occur during the lower extremity have been reported and we think that it will be useful for studies on this part of the body and can be a guide.

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“…Structure from motion will reconstruct 3D points from the input images. Depth Map retrieves the depth value of each pixel for all cameras that have been resolved by SFM (Alice Vision Inc 2021, Shilov et al 2021). Certain depth maps will claim to see areas that are occluded by other depth maps (Stark et al 2022, Berio andBayle 2020).…”

Section: Figure 2 3d Reconstruction Based On Default Pipelinementioning

confidence: 99%

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2023

AJTE

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ATINER is an independent and non-profit Association with a Mission to become a forum where Academics and Researchers from all over the world can meet in Athens, exchange ideas on their research and discuss future developments in their disciplines, as well as engage with professionals from other fields. Athens was chosen because of its long history of academic gatherings, which go back thousands of years to Plato's Academy and Aristotle's Lyceum. Both these historic places are within walking distance from ATINER's downtown offices. Since antiquity, Athens was an open city. In the words of Pericles, Athens"…is open to the world, we never expel a foreigner from learning or seeing". ("Pericles' Funeral Oration", in Thucydides, The History of the Peloponnesian War). It is ATINER's mission to revive the glory of Ancient Athens by inviting the World Academic Community to the city, to learn from each other in an environment of freedom and respect for other people's opinions and beliefs. After all, the free expression of one's opinion formed the basis for the development of democracy, and Athens was its cradle. As it turned out, the Golden Age of Athens was in fact, the Golden Age of the Western Civilization. Education and (Re)searching for the 'truth' are the pillars of any free (democratic) society. This is the reason why Education and Research are the two core words in ATINER's name.

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Reconstruction of a 3D Human Foot Shape Model Based on a Video Stream Using Photogrammetry and Deep Neural Networks

Cited by 11 publications

References 39 publications

A Simple Way to Reduce 3D Model Deformation in Smartphone Photogrammetry

A Simple Way to Reduce 3D Model Deformation in Smartphone Photogrammetry

Evaluation of Errors Encountered in Photogrammetric Studies on Lower Extremities

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