1
Niels da Vitoria Lobo, Young Ho Kwon: Face detection using templates. University of Central Florida, Brian S Steinberger, November 10, 1998: US05835616 (307 worldwide citation)

Disclosed is a two step process for automatically finding a human face in an electronically digitized image (for example, taken by handheld digital cameras and digital video-cameras such as cam-corders), and for confirming the existence of the face by examining facial features. Step 1 is to detect t ...


2
Raymond Paul Smith, Mubarak Shah, Niels da Vitoria Lobo: Algorithm for monitoring head/eye motion for driver alertness with one camera. Research Foundation of the University of Central Florida, Brian S Steinberger, Law Offices of Brian S Steinberger P A, August 9, 2005: US06927694 (103 worldwide citation)

Visual methods and systems are described for detecting alertness and vigilance of persons under conditions of fatigue, lack of sleep, and exposure to mind altering substances such as alcohol and drugs. In particular, the intention can have particular applications for truck drivers, bus drivers, trai ...


3
Niels da Vitoria Lobo, Chen Jinxiong: 3D realtime fluid animation by Navier-Stokes equations. University of Central Florida, Brian S Steinberger, July 16, 1996: US05537641 (44 worldwide citation)

This is a method for physically-based modeling of three dimensional (3D) general fluid animation in computer graphics. By solving the two dimensional (2D) Navier-Stokes equations using a Computational Fluid Dynamics method, we map it into 3D using the corresponding pressures in the fluid flow field. ...


4
Niels da Vitoria Lobo, Mehmet B Caglar: Self correcting tracking of moving objects in video. University of Central Florida Research Foundation, Brian S Steinberger, Phyllis K Wood, Law Offices of Brian S Steinberger P A, July 19, 2011: US07983448 (12 worldwide citation)

Apparatus, methods, systems and devices for identifying and tracking a human hand in a video. The steps for identifying the hand includes detecting parallel lines (bars), detecting curved fingertips (curves), grouping the detected parallel lines and curved fingertips according to a parallel line dec ...


5
Prince Gupta, Niels da Vitoria Lobo, Joseph J LaViola Jr: Object tracking with opposing image capture devices. University of Central Florida Research Foundation, Thomas Horstemeyer, March 17, 2015: US08983127 (1 worldwide citation)

Systems and method of compensating for tracking motion of an object are disclosed. One such method includes receiving a series of images captured by each of a plurality of image capture devices. The image capture devices are arranged in an orthogonal configuration of two opposing pairs. The method f ...