Representations of Video and 3D Data for Manipulation and Recognition
Harpreet S. Sawhney
Vision Technologies Laboratory
Time and Place
Mauldin Auditorium (NSH 1305)
Refreshments 3:15 pm
Talk 3:30 pm
Video cameras are no longer being used only in their traditional role of providing “viewable pixels”, but are rapidly becoming sources of intelligent information about the world. More recently 3D cameras/sensors are being developed to directly provide 3D measurements of objects and scenes. Appearance and geometry of objects and scenes, and the temporal dynamics of objects are the key information bearing sources for visual information. This talk will highlight the representation of dynamic scenes in terms of 2D and 3D layered representations. Applications ranging from tracking to enhanced video visualization for tele-presence and video object fingerprinting will be used to illustrate the work. I will also present highlights of recent work on classification and recognition of 3D objects from view-based 3D sensor data. I will describe a structural coarse-to-fine indexing and matching approach for scaleable 3D object recognition.
Dr. Harpreet S. Sawhney - Technical Manager, leads the Vision Technologies
group at the Sarnoff Corporation. Dr. Sawhney
received his Ph.D. in Computer Science in Feb. 1992 from the
For appointments, please contact Martial Hebert.