pablocp

6 ms·

1. 1.▲
   by pablocp 12y ago

   One of the biggest problems we find on most computer vision libraries is the fact that a lot of knowledge in the area is required to use them properly. We think the complex APIs that are exposed to developers that try to make CV apps can be
2. 2.▲
   by pablocp 12y ago

   We are currently working on a pose-estimation algorithm (EPnP) that will use the results we get from feature detection to find a camera pose, so we can make 3D augmentation. It will be very helpful to create augmented reality applications.
3. 3.▲
   by pablocp 12y ago

   Thanks for this great help, apu! A new issue was created on github ( https://github.com/eduardolundgren/tracking.js/issues/88 ) to register the suggestions =)
4. 4.▲
   by pablocp 12y ago

   That's really good to hear! The face tracker was one of the first modules to be implemented on tracking.js and, back then, we found Viola-Jones to be the most promising algorithm to make face detection (besides being the one used by ou
5. 5.▲
   by pablocp 12y ago

   Face detection still being an open problem in computer vision area. While very good algorithms exist, they still fail on some cases or are not fast enough to run in real time. Our implementation is based on Viola-Jones algorithm, one of the
6. 6.▲
   by pablocp 12y ago

   tracking.js is a new library that intends to bring the power of computer vision to the Web. OpenCV is far older and is a inspiration for our team regarding the number of available algorithms, robustness and speed. With the increasing power