The Use of Smartphones in 3D Modeling of Human Face

Doğa Fidan; Ali Ulvi

Makale detayları

The Use of Smartphones in 3D Modeling of Human Face

Yazarlar:

Doğa Fidan | Ali Ulvi

Yayıncı:

Mersin University

Ana Başlıklar:

Fotogrametri ve Uzaktan Algılama

Dergi:

Türkiye Fotogrametri Dergisi Vol.6 Issue 1, pp.1-7

Belge Tipi:

Makale

Yayın Tarihi:

6/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001316547

pISSN:

2687-6590

Anahtar kelimeler:

Özet:

 The purchase costs of metric cameras and photogrammetric camera lenses are quite high. In contrast, smartphones provide an easily accessible and cost-effective data collection opportunity for users. In this regard, smartphones, when integrated with photogrammetry, provide flexibility to 3D modeling processes and offer a low-cost solution. SfM Structure from Motion is known as a photogrammetric image matching method and is used to analyze the structural properties of objects and create 3D models. The aim of the study is to produce a realistic and digital 3D face model with minimum workload from photo sets obtained using a consumer-grade digital camera. In this study, human face data was collected using an iPhone 14 Pro Max smartphone. The data were modeled in 3Dsurvey software on a work computer. At the end of the application, a realistic 3D model of the human face was obtained. It was found that the realism of the 3D model depends on the lighting conditions of the photo shooting environment, the shooting angle and the amount of overlay, the immobility of the target object, background and environmental factors.

 The purchase costs of metric cameras and photogrammetric camera lenses are quite high. In contrast, smartphones provide an easily accessible and cost-effective data collection opportunity for users. In this regard, smartphones, when integrated with photogrammetry, provide flexibility to 3D modeling processes and offer a low-cost solution. SfM Structure from Motion is known as a photogrammetric image matching method and is used to analyze the structural properties of objects and create 3D models. The aim of the study is to produce a realistic and digital 3D face model with minimum workload from photo sets obtained using a consumer-grade digital camera. In this study, human face data was collected using an iPhone 14 Pro Max smartphone. The data were modeled in 3Dsurvey software on a work computer. At the end of the application, a realistic 3D model of the human face was obtained. It was found that the realism of the 3D model depends on the lighting conditions of the photo shooting environment, the shooting angle and the amount of overlay, the immobility of the target object, background and environmental factors.

 The purchase costs of metric cameras and photogrammetric camera lenses are quite high. In contrast, smartphones provide an easily accessible and cost-effective data collection opportunity for users. In this regard, smartphones, when integrated with photogrammetry, provide flexibility to 3D modeling processes and offer a low-cost solution. SfM Structure from Motion is known as a photogrammetric image matching method and is used to analyze the structural properties of objects and create 3D models. The aim of the study is to produce a realistic and digital 3D face model with minimum workload from photo sets obtained using a consumer-grade digital camera. In this study, human face data was collected using an iPhone 14 Pro Max smartphone. The data were modeled in 3Dsurvey software on a work computer. At the end of the application, a realistic 3D model of the human face was obtained. It was found that the realism of the 3D model depends on the lighting conditions of the photo shooting environment, the shooting angle and the amount of overlay, the immobility of the target object, background and environmental factors.

 Metrik fotoğraf makinelerinin ve fotogrametrik kamera lenslerinin satın alma maliyetleri oldukça yüksektir. Bunun aksine akıllı telefonlar, kullanıcılar tarafından kolay ulaşılabilir ve uygun maliyetli bir veri toplama imkânı sağlamaktadır. Bu doğrultuda akıllı telefonlar, fotogrametriyle bütünleştirildiğinde 3B modelleme süreçlerine esneklik sağlamakta, düşük maliyetli bir çözüm sunmaktadır. SfM Structure from Motion, fotogrametrik görüntü eşleştirme yöntemi olarak bilinmekte, nesnelerin yapısal özelliklerini analiz etmek ve 3B modeller oluşturmak için kullanılmaktadır. Çalışmada tüketici sınıfı bir dijital kamera kullanılarak elde edilen fotoğraf kümelerinden minimum iş yüküyle gerçekçi ve dijital 3B yüz modelinin üretilmesi amaçlanmaktadır. Bu çalışmada, iPhone 14 Pro Max akıllı telefon kullanılarak insan yüzüne ait veriler toplanmıştır. Veriler bir iş bilgisayarında 3Dsurvey yazılımında modellenmiştir. Uygulama sonunda insan yüzünün gerçekçi 3B modeli elde edilmiştir. Elde edilen 3B modelin gerçekçiliğinin, fotoğraf çekim ortamının ışık koşullarına, çekim açısına ve bindirme miktarına, hedef nesnenin hareketsizliğine, arka plan ve çevresel faktörlere bağlı olduğu tespit edilmiştir.

Makale detayları

The Use of Smartphones in 3D Modeling of Human Face

Yazarlar:

Doğa Fidan | Ali Ulvi

Yayıncı:

Mersin University

Ana Başlıklar:

Fotogrametri ve Uzaktan Algılama

Dergi:

Türkiye Fotogrametri Dergisi Vol.6 Issue 1, pp.1-7

Belge Tipi:

Makale

Yayın Tarihi:

6/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001316547

pISSN:

2687-6590

3-dimensional modeling

smartphones

SfM

3-dimensional survey3 boyutlu modelleme

akıllı telefonlar

SfM

3 boyutlu ölçüm

Sayı

Makale detayları

Yazarlar: Doğa Fidan | Ali Ulvi

Yayıncı: Mersin University

Ana Başlıklar: Fotogrametri ve Uzaktan Algılama

Dergi: Türkiye Fotogrametri Dergisi Vol.6 Issue 1, pp.1-7

Belge Tipi: Makale

Yayın Tarihi: 6/2024

Belge Dili: Türkçe

Document ID (Org No.): 2001316547

pISSN: 2687-6590

Sayı

Yazarlar:

Doğa Fidan | Ali Ulvi

Yayıncı:

Mersin University

Ana Başlıklar:

Fotogrametri ve Uzaktan Algılama

Dergi:

Türkiye Fotogrametri Dergisi Vol.6 Issue 1, pp.1-7

Belge Tipi:

Makale

Yayın Tarihi:

6/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001316547

pISSN:

2687-6590