ULSee is proud to announce the launch of its face tracker plugin on Unity 3D.
As Part Two of our ongoing series to explore the various applications of face tracking, we delve into how face tracking is used as a solution to meet the demands of e-commerce. Read on to learn more about virtual try-on and how the convenient application can enhance the overall online shopping experience.
Shopping online for clothing and accessories can be just as frustrating as it is convenient. We’ve all experienced it before–finding that seemingly perfect product, ordering it (with expedited shipping no less), and opening it eagerly only to find out that–gasp–it doesn’t fit. So at the end of the day, many of us are left feeling annoyed and regretful. This common experience is not only a nuisance to consumers, it’s one of the biggest obstacles obstructing online fashion retail.
The truth of the matter is, people like trying things on. For many of us, it’s the deciding factor on whether or not we commit to purchasing an item. But as e-commerce grows and more and more retailers shift to the web, there remains a gap in the customer experience for sizing and fitting. And while perks like free shipping, online promotions, and lenient return policies are incentives, they do not address the major issue of delivering fit. Fortunately, virtual try-on technology is tackling the issue.
This post is the first installment of our ongoing series to explore the numerous applications and solutions of face tracking. Here, we define what face tracking is, explain how it functions, and show its various applications in gaming, arts, and entertainment. If you want to learn more about the sought-after technology and how successful companies are implementing it, read on.
It’s no secret that augmented reality is currently one of the hottest topics of the tech world. Ever since the meteoric rise of Snapchat and Pokémon Go, companies, investors, and developers alike are delving into the auspicious domain by exploring the technology and its numerous applications. As AR continues to gain traction, the search for the most relevant and effective algorithmic solutions is as crucial as ever.