|Title||Multi-polarimetric textural distinctiveness for outdoor robotic saliency detection|
|Publication Type||Conference Paper|
|Year of Publication||2015|
|Authors||Haider, S., C. Scharfenberger, F. Kazemzadeh, A. Wong, and D. A. Clausi|
|Conference Name||SPIE Electronic Imaging: Intelligent Robots and Computer Vision XXXII: Algorithms and Techniques|
|Conference Location||San Francisco, California, United States|
Saliency detection is utilized in applications where distinguishing unique items in a scene is important. One such application is the area of mobile robotics, where robots that rely on vision, while navigating outdoors to detect and identify objects, utilize saliency approaches to identify a set of potential candidates to recognize. The state of art in saliency detection for mobile robotics often rely upon visible light imaging using conventional camera setups aiming to distinguish an object against its surroundings based on factors such as feature compactness, heterogeneity and/or homogeneity. These methods limit themselves only to what can be captured using conventional camera setups, which can be hampered by image saturation seen on sunny days, as well as detector insensitivity to slight differences in colour. To address some of these issues, neutral density filters have been placed on cameras for mobile robotics to remove bright specular highlights, but require longer exposure times and do increase the sensitivity to slight colour differences.