Computer Vision Technology For Body Measurement
We use computer vision machine learning and 3d matching technologies to process and measure the human body from just two photos from any mobile device with high accuracy computer vision we use computer vision to analyze the photo from which we acquire and process the human body.
Computer vision technology for body measurement. Computer vision is an interdisciplinary scientific field that deals with how computers can gain high level understanding from digital images or videosfrom the perspective of engineering it seeks to understand and automate tasks that the human visual system can do. Mirrorsize app for individuals. Body measurement for clothes prototype computer vision solution that measures mans body with 98 accuracy. You dont need any special suits just your smartphone with a camera.
At mirrorsize our endeavor is to eliminate the need for physical body measurement and minimize the chances of incorrect measurements using cutting edge ai and computer vision technology to accurately measure human body in three simple steps using our mobile app available on ios and android. No more returns buy clothes online that fit you perfectly the first time. Computer vision tasks include methods for acquiring processing analyzing and understanding digital images and extraction of. Bodygram gives you full body measurements as accurate as.
Using the front end camera of any mobile device sizers proprietary computer vision technology precisely calculates a persons body measurements with the highest accuracy and utilizes deep learning algorithms to determine correct size recommendations for best fitting clothing. How computer vision technology in our mobile body measurement app tackles perfect clothing fit shopping online is easy it takes less time and you can find everything you need in one go. Both computer vision and machine learning techniques. Try it free buying clothes online for most men is a preferred way even.
The main premise of 3dlook is rooted in computer vision with body measurements derived from two selfies one from the front.