Image recognition is a Computer Vision technology that makes it possible to analyze the resemblance between two pictures (or the objects pictured in them).
This technology is also the foundation of the mechanics of marker recognition used by Pikkart’s Augmented Reality apps.
Image recognition opens up new possibilities on mobile and industrial applications.
Algorithms being able to automatically recognize objects and places creates new opportunities for the creation of Intelligent Applications that can entertain, inform, and help users through natural interactions.
Pikkart’s image recognition system is used in our Cloud Recognition System (CRS) to perform fast image searchs in a dataset of hundreds of thousands of pictures. When a user frames a marker with their camera, the image is sent to cloud servers that, using advanced Computer Vision algorithms, find the matching image (if it exists) in less than one second.
Pikkart CRS can also be integrated in existing server installations in order to have a customized and independent service of image recognition.
When is cloud image recognition useful?
“Segmentation models diversity for object proposals”, Manfredi et al., Computer Vision and Image Understanding, 2016
“GOLD: Gaussians of Local Descriptors for image representation”, Serra et al., Computer Vision and Image Understanding, 2015