Image Recognition: a Short Evaluation – part 1

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.

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Google is launching Eyeglasses for Augmented Reality (part 2)

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)?

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Looking for a job?

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…

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How to create markers for ARUCO?

I had this question so many times: “how to design a marker with ARUCO?”. In fact it’s pretty simple in practice but a little tricky in this particular case. I’ll try to explain why …

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Black and White Marker Detection

In this article, I’m trying to give technical clues on how to implement a simple marker detection engine similar to the technology provided in the well-known ARtoolkit software.

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A short story of Computer Vision and Image Processing in Augmented Reality

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.

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