03.05.15 - 08.05.15, Seminar 15192

The Message in the Shadow: Noise or Knowledge?

Diese Seminarbeschreibung wurde vor dem Seminar auf unseren Webseiten veröffentlicht und bei der Einladung zum Seminar verwendet.


Recently, psychologists have turned their attention to the study of cast shadows and demonstrated that the human perceptual system values information from shadows very highly in the perception of spatial qualities, in synergy or in conflict with other cues. At the same time artificial vision systems treat cast shadows almost exclusively not as signal but as noise. The purpose of this seminar is to bring together researchers from the various disciplines involved in investigating the problem of understanding the perception of shadows (both in biological and in artificial systems) and experts and practitioners that try to bridge the gap between the perception and the use of the knowledge content in shadows in robotics and computer vision systems.

During the seminar we intend to discuss the ways in which the perception of shadows operates, considering evidence from computer graphics, psychology, art history, philosophy and neuroscience. We shall address the issue of how the environmental information used by the human perceptual system can be incorporated into computer vision methods for shadow detection. Specific issues such as the recognition of shadows ("what makes a dark patch in a scene shadow-like? ") and the human ability to make complicated judgments about 3D location in space based upon shadows are examples of the topics to be addressed.

The seminar has the goal of synchronizing the work of the different research and application communities involved. To that effect, it will provide up-to-date information about the state of the art of research on the psychology of shadow perception, on the practices for depicting shadows, on uses of shadows.

The seminar will also be an excellent forum for researchers in robotics to present the major challenges they have been facing in exploiting the information content in shadows — features that are largely considered noise rather than knowledge in other fields.