Officer Garcia
Abstract: An analysis of court cases has revealed that the mistaken identification of the wrong person by victims and witnesses of a crime is the single most common error leading to the arrest and conviction of innocent people [Wells et al. 2006]. Recognizing the role of mistaken identification in erroneous conviction, a growing number of states and police departments have reformed their eyewitness identification procedures. In this paper, we investigate a new procedural reform: the use of a virtual officer who does not know the identity of the suspect in the lineup and therefore cannot bias the witness toward false identification.
BARS (Summer '07)
Battlefield Augmented Reality System (BARS) is a mobile augmented reality system, consisting of a computer, a tracking system, and a see-through wearable display. The system tracks the position and orientation of the user’s head and superimposes graphics and annotations that are aligned with real objects in the user’s field of view. With this approach, complex 3D spatial information can be directly aligned with the environment. The goal of this project is to design and implement information filtering (e.g., building names, scene-annotations) and object occlusion (e.g., buildings, streets, equipment) algorithms that are natural for a wearer’s perception. Simply stated, the investigation ask the question: How does one display “x-ray” vision and eliminate superfluous information to present an intuitive and informative visioning enhancement?