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Our neurally-inspired computer vision algorithm, called Attention Biased Speeded Up Robust Features (AB-SURF), harnesses features that characterize human visual attention to make the recognition task more ... Index Terms -Object recognition, visual attention, neurally-inspired computer vision, visual aids for the blind ... by the U. ...doi:10.1109/icmew.2013.6618345 dblp:conf/icmcs/ThakoorMNMSTWI13 fatcat:cfs3iq7vr5aa5gpyvxlbhoz7by
Lecture Notes in Computer Science
A prototype wearable visual aid for helping visually impaired people find desired objects in their environment is described. ... The system is comprised of a head-worn camera to capture the scene, an Android phone interface to specify a desired object, and an attention-biasingenhanced object recognition algorithm to identify three ... The authors would like to thank Dr. Sophie Marat for her essential algorithmic contributions to the development of the prototype system described in this manuscript. ...doi:10.1007/978-3-319-16199-0_45 fatcat:unou4qblkbavtm24fpb4nlmoc4
International Journal of New Technologies in Science and Engineering
The difficulties faced by the visually impaired persons are the recognition of objects, colors and shapes. ... For the implementation of the system Ionic and Django Rest framework is used. The inception architecture which uses deep convolutional neural network is used for classifying objects or inputs. ... Acknowledgement We would like to thank the Computer Engineering Department, Sir Syed University of Engineering and Technology, Karachi Pakistan for all the key guidance, support and constant encouragement ...fatcat:saan4eovjvhz3ozquee6cejfga