Abstract: A system for recognizing objects under different environmental conditions by manipulating an original image with light and animation effects in real time and comparing the result with an input frame. This improves the ability of the system to detect and recognize a matching real world object in a variety of conditions. 3D rendering techniques are used to create a new and more accurate reference model as compared to current static object descriptions. The system is implemented on a computer with GPU capabilities. The real world object to be recognized is configured in the system as a 3D object, and is manipulated to create custom environmental conditions that can be adjusted by the user to optimize detection and recognition in an environment appropriate for each user.

Abstract: An image processing for recognition objectives system including uploading n image to a processor and associated memory via a network, dividing the images into a plurality of sub-images, preprocessing, uploading an image to be recognized from an image source to the processor and associated memory, pre-processing the image to be recognized and a first the plurality of sub-images, extracting key features from the image to be recognized and a first of the plurality of sub-images, comparing the key features of the image and the first of the sub-images, if there is a match, display the match and if there is no match, advance to the next of the plurality of sub-images and repeat until a match is determined.

Abstract: An image recognition system in a cloud environment including uploading a plurality of images to the cloud environment, preprocessing the plurality of images, determining image classifiers for each of the plurality of images, extracting the features of each of the plurality of images, storing the images, features and classifiers, determining the image classifiers and key features of an image to be recognized from a multiplatform image device, selecting from the plurality of images, images which have the same classifiers as the image to be identified, matching a best one of the selected images with the image to be identified and displaying the match on a display of the .multi-platform image device. The system further functions by performing one or more of the above in the multiplatform imaging device and/or cloud environment.

Abstract: An image processing for recognition objectives system including uploading n image to a processor and associated memory via a network, dividing the images into a plurality of sub-images, preprocessing, uploading an image to be recognized from an image source to the processor and associated memory, pre-processing the image to be recognized and a first the plurality of sub-images, extracting key features from the image to be recognized and a first of the plurality of sub-images, comparing the key features of the image and the first of the sub-images, if there is a match, display the match and if there is no match, advance to the next of the plurality of sub-images and repeat until a match is determined.

Abstract: An image recognition system in a cloud environment including uploading a plurality of images to the cloud environment, preprocessing the plurality of images, determining image classifiers for each of the plurality of images, extracting the features of each of the plurality of images, storing the images, features and classifiers, determining the image classifiers and key features of an image to be recognized from a multiplatform image device, selecting from the plurality of images, images which have the same classifiers as the image to be identified, matching a best one of the selected images with the image to be identified and displaying the match on a display of the .multi-platform image device. The system further functions by performing one or more of the above in the multiplatform imaging device and/or cloud environment.