arXiv Open Access 2022

Portrait Segmentation Using Deep Learning

Sumedh Vilas Datar and Jesus Gonzales Bernal

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Abstrak

A portrait is a painting, drawing, photograph, or engraving of a person, especially one depicting only the face or head and shoulders. In the digital world the portrait of a person is captured by having the person as a subject in the image and capturing the image of the person such that the background is blurred. DSLRs generally do it by reducing the aperture to focus on very close regions of interest and automatically blur the background. In this paper I have come up with a novel approach to replicate the portrait mode from DSLR using any smartphone to generate high quality portrait images.

Topik & Kata Kunci

cs.CV

Penulis (2)

Sumedh Vilas Datar and

Jesus Gonzales Bernal

Format Sitasi

APA MLA BibTeX

and, S.V.D., Bernal, J.G. (2022). Portrait Segmentation Using Deep Learning. https://arxiv.org/abs/2202.02705

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Informasi Jurnal

Tahun Terbit: 2022
Bahasa: en
Sumber Database: arXiv
Akses: Open Access ✓