Estudio y selección de las técnicas SIFT, SURF y ASIFT de reconocimiento de imágenes para el diseño de un prototipo en dispositivos móviles
Creators: name: Zambrano-Martinez, Jorge Luis
name: Plaza Cordero, Andrea Maricela
name: Robles-Bykbaev, Vladimir
Publisher: name: Universidad Politécnica Salesiana
Year: 2011
Subjects: SIFT
SURF
ASIFT
Artificial Intelligence
Computer Vision

description: The computer vision techniques are a subdivision of artificial intelligence, whereby by using an image, a group of images or a sequence of images, we have the possibility to extract valuable information to perform various operations such as: recognition of objects, camara Calibration, 3D Modeling, robotic vision, video follow up, image processing (contrast, brightness, threshold, etc.), among others. There are many fields in which these operation can be used: X-ray, CT, infrared, optical sensors, range sensors, weather, robotics, among others. Currently, there are several methods used in image recognition, some more or less precision; SIFT is an algorithm to detect and describe local features of images. SIFT was discovered by David Lowe in 1999, making it a fairly young method. In 2006 a new striking technique was introduced SURF. SURF is a method inspired by SIFT in many ways however SURF has a new feature: speed. The technique to be used for recognition is ASIFT, unlike the SIFT method which only simulates three parameters ASIFT simulates six parameters: zoom, the angle of the camera in latitude, the angle of the camera in length and normalizes the three other parameters which are translation, rotation and scale. The application would start by giving a welcome to the blind using a hearing aid. Then the individual could touch any area of the screen of the mobile device and this would capture an image. The image would then be processed by using methods artificial vision, which would respond in auditory form (denomination of the bill). The system would also presents two language options, spanish and english, enabling bilingual user to switch from one language to another. The application to be developed would possess the following: the use of accelerometer (one of the great advantages that iOS possesses is the presentation of accelerometer though which the various processes would be call), camera (it refers to the capture of images through the use of the mobile device), sound (will be based on various hearing aids or auditive steps by which the individual can be guided on how to use it), vibration (it will alert the individual of various events that may develop). Depending on the axes of the mobile device, the following actions would be perform: in the X axis the stability would allow to take a picture by only clicking once on the screen of the mobile device, would allow to change the language only once, the function of repeating the denomination would be enabled, no camera would disable the touch screen option therefore the picture taking option, the repeat denomination would allow the repeating of the denomination of the bill's name and the recognition process refers to both the generation of keypoint and its respective match, in the Y axis the close of applications, for the fact that they are unable to see, the mobile device was developed in a way that by putting it upside down, the application would close completely and finally in the Z axis the stability allows to take a picture by clicking only once in the screen of the mobile device, the changing of language would activate only once, and the change of language would be abel to choose the language of the entire process. The advantages are: ease of use, is a hearing aid, tactile assistants (vibration).