Image Recognition has been a widely studied topic recently. Researchers and companies are trying to find robust solutions to recognize images (advertisement flyers, movie posters, cards …) and objects using remote servers or directly on the devices. At iplimage, we tried and implemented a few image recognition engines lately, and I would like to share some results.
I will talk this time about the Google™ Project Glass from a technical point of view. Analyzing the video they uploaded, can we extract some interesting Computer Vision/Image Processing principles and innovations? or is it another Layar™ like system (see my previous post)?
If you are looking for a job (like me) in Computer Vision, Image Processing or Augmented reality, please read and contribute to this post! I will try to maintain a list of interesting links about companies, projects and opportunities…
Augmented Reality was originally named mixed reality because its goal is to merge a video stream with animated 3d objects in real-time. It has been quickly discovered that rendering synthetic objects on top of image sequences is useless unless we can extract some information from the real scene captured by the camera.