A new retexturing method for virtual fitting room using Kinect 2 camera

Traumann, Andres; Anbarjafari, Gholamreza; Escalera, Sérgio

doi:10.1109/cvprw.2015.7301339

Cited by 14 publications

(3 citation statements)

References 14 publications

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“…The adjustment of Kinect IR values uses the same parameters for all generated results, therefore the shadow effects can appear different for different garment types. The use of Kinect IR data for shadow generations is the same as the one presented in [33,2].…”

Section: Discussionmentioning

confidence: 99%

From 2D to 3D Geodesic-based Garment Matching

Madadi¹,

Avots²,

Escalera³

et al. 2018

Preprint

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A new approach for 2D to 3D garment retexturing is proposed based on Gaussian mixture models and thin plate splines (TPS). An automatically segmented garment of an individual is matched to a new source garment and rendered, resulting in augmented images in which the target garment has been retextured by using the texture of the source garment. We divide the problem into garment boundary matching based on Gaussian mixture models and then interpolate inner points using surface topology extracted through geodesic paths, which leads to a more realistic result than standard approaches. We evaluated and compared our system quantitatively by mean square error (MSE) and qualitatively using the mean opinion score (MOS), showing the benefits of the proposed methodology on our gathered dataset.

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Section: Discussionmentioning

confidence: 99%

From 2D to 3D Geodesic-based Garment Matching

Madadi¹,

Avots²,

Escalera³

et al. 2018

Preprint

Self Cite

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“…The objects that are placed in an AR space need to look and feel as if they are actually present in that space, rather than appearing as a simple overlay. This is typically achieved with high-resolution models and textures, reflection probes sampled from the camera [81,82], lighting color and direction estimation [83,84], surface and people detection [85], surface occlusion [86], virtual shadows [87], and subtle post-processing effects [88]. All of these bring an AR object closer to looking like a real object.…”

Section: Assets Used In Ar Applicationsmentioning

confidence: 99%

Augmented Reality: Current and New Trends in Education

Kamińska,

Zwoliński,

Laska-Leśniewicz

et al. 2023

Electronics

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The educational landscape is an environment prone to change due to the volatile and ever-changing nature of the digital society in which we all live. Although the world moves at different speeds and any generalization is bound to have some exceptions, there is evidence from research conducted in different places and contexts that educational methods are becoming increasingly digitized and driven by technological innovation. Among the technological trends fueled in many cases by the COVID-19 pandemic and the need to stay at home but online, augmented reality solutions received an additional boost as a valid and versatile educational technology worth exploring and eventually integrating into several teaching methods already in use. Although the technology still faces problems related to affordability, accessibility, and the technical skills required of users, some ongoing projects have already provided evidence that using augmented reality solutions as teaching and learning tools can improve teacher and student learning outcomes by increasing engagement and interactivity. The same issues arose when personal computers, tablets, and smartphones were first discussed as valuable tools for education and have now found their way into most classrooms. This paper reviews some of the key concepts related to augmented reality, as well as some current trends, benefits, and concerns related to its integration into educational contexts in areas such as life sciences, engineering, and health. The work conducted and presented in this paper provides an interesting insight into a technology that has given rise to global phenomena such as Pokémon Go, and continues to improve in terms of portability, usability, and overall user experience. Throughout the paper and in the conclusion section, we discuss the relevance of using the best features of augmented reality and how they can contribute to positive educational outcomes.

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“…Bunların dışında başka makaleler incelendiğinde, Traumann ve ark. tarafından sunulan çözümün [4], tatmin edici bir sonuç verdiği görülmektedir ancak bu çözümün gerçekleştirilmesi için gerekli olan özel bir donanım bulunmaktadır. Bu çözümde Kinect 2 kameras ı kullanılarak elde edilen görsel üzerinde derinlik bilgisi ile görsel 3 boyutlu olarak haritalanır.…”

Section: Gi̇ri̇ş (Introduction)unclassified

Mobile Shopping Application with Virtual Trial Room and Body Size Estimation Support

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2022

Bilişim Teknolojileri Dergisi

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Çalışmada çevrimiçi alışveriş yöntemiyle tüketicilerin almak istedikleri giysileri mobil cihazları üzerinden ekstra bir donanım gereksinimi olmadan sanal olarak deneyimleyebilecekleri ve kendi beden ölçülerinin uygulama tarafından belirlenmesiyle kendilerine uygun beden büyüklüğündeki giysileri alabilecekleri bir market alanına sahip bir mobil uygulama oluşturmak amaçlanmıştır. Böylelikle tüketicilerin çevrimiçi giysi alışverişinde oluşan memnuniyetsizliklerinin en aza indirilmesi ve çevrimiçi alışveriş kalitesinde bir artış gerçekleştirilmesi amaçlanmıştır. Ayrıca tedarikçilere, ileriye yönelik planlamalarında yardımcı olacak hangi ürünlerin hangi zaman aralıklarında sıkça tercih edildiğinden, hangi ürünlerin kârı azalttığı, hangi ürünlerin üretiminin durdurulması, hangilerinin üretiminin arttırılması gerektiğine kadar birçok veri analizi ve görselleştirmesi imkânı sunulmaktadır. Veri toplama, analiz, görselleştirme ve raporlama bölümünde dijital sanatçılar ve üreticiler için kurumsal araçlardan, geliştiriciler için açık kaynak kodlu araçlardan yararlanılmıştır.

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A new retexturing method for virtual fitting room using Kinect 2 camera

Cited by 14 publications

References 14 publications

From 2D to 3D Geodesic-based Garment Matching

From 2D to 3D Geodesic-based Garment Matching

Augmented Reality: Current and New Trends in Education

Mobile Shopping Application with Virtual Trial Room and Body Size Estimation Support

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