This paper proposes a novel view independent vehicle make and model recognition method(VMMR). Our system identifies the make and model from the variety of viewpoints while the conventional methods for VMMR work only for the fixed frontal or rear images. In addition, it needs only the 2D images not CAD data for database. To solve the alignment issue, our method uses SIFT, that has scale and rota...

The ability to detect small changes in one's visual environment is important for effective adaptation to and interaction with a wide variety of external stimuli. Much research has studied the auditory mismatch negativity (MMN), or the brain's automatic response to rare changes in a series of repetitive auditory stimuli. But recent studies indicate that a visual homolog to this component of the ...

– A SIFT-based Vehicle Manufacturer and Model Recognition (VMMR) method was utilized to tackle the problem of vehicle security. Distinctive parts of the vehicle frontal view such as the headlights, grill and logo area were segmented. A series of experiments were conducted in a variety of outdoor conditions, where a query image that was rotated, scaled, shifted or set in different lighting condi...

One of the main limitations traditional neural-network-based classifiers is assumption that all query data are well represented within their training set. Unfortunately, in real-life scenarios, this often not case, and unknown class may appear during testing, which drastically weakens robustness algorithms. For type problem, open-set recognition (OSR) proposes a new approach where it assumed wo...