This MIT Selfie Technology Converts Ordinary Selfies into Pro Portraits
Rahul Kalvapalle — June 12, 2014 — Tech
References: newsoffice.mit.edu & gizmag
Selfie-obsessed people growing weary of the usual Instagram photo filters can now look forward to something far more advanced, what with the development of the MIT selfie algorithm. Researchers at MIT developed an algorithm that takes selfie manipulation to the next level, allowing distinctive studio-style photography looks to be layered on top of your self-portrait.
Existing approaches to filtering selfies and other photos use techniques collectively known as 'global style-transfer.' This involves adjusting things like color temperature and contrast to make photos look different. However, the MIT researchers noticed that these techniques aren't as affective when applied to selfies and close-up shots of faces.
The researchers set about developing a new method dubbed 'local transfer'. They used facial recognition software to find common features between subjects' faces and the face in an example photograph that they wanted to replicate.
Despite complications, this MIT selfie technology looks a lot better than existing image filters, making the selfies look like professionally lit shots.
Existing approaches to filtering selfies and other photos use techniques collectively known as 'global style-transfer.' This involves adjusting things like color temperature and contrast to make photos look different. However, the MIT researchers noticed that these techniques aren't as affective when applied to selfies and close-up shots of faces.
The researchers set about developing a new method dubbed 'local transfer'. They used facial recognition software to find common features between subjects' faces and the face in an example photograph that they wanted to replicate.
Despite complications, this MIT selfie technology looks a lot better than existing image filters, making the selfies look like professionally lit shots.
Trend Themes
1. Selfie-enhancement - Developing advanced selfie enhancement techniques to provide studio-style photography looks and make selfies look like professionally lit shots.
2. Facial Recognition for Photography - Integrating facial recognition in photography to find common features between subjects' faces and an example photograph for improved photo filtering.
3. Local Style Transfer - Exploring local style transfer techniques to adjust color temperature and contrast more effectively when applied to selfies and close-up shots of faces.
Industry Implications
1. Mobile Devices - Using advanced selfie enhancement techniques on mobile devices to improve selfie-taking abilities.
2. Photography - Integrating facial recognition and local transfer in photography services to offer improved photo filtering.
3. Social Media - Incorporating advanced selfie enhancement techniques in social media platforms to provide users with more creative options for sharing selfies.
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