1. Plankton Classification VIDI: Sign Recognition HANDWRITING RECOGNITION
Computer Vision Laboratory
The Computer Vision Laboratory was established in the Department of Computer Science at the University of Massachusetts in Since its inception, the lab has put an emphasis on developing vision systems that are capable of functioning flexibly and robustly in complex changing environments. A unifying theme within the laboratory has been the investigation of the scientific principles underlying the construction of integrated vision systems and the application of vision to problems of real-world importance. Current applications in the lab include panoramic vision for mobile robots, distributed sensor networks for tracking of moving objects, video mosaicing and 3D reconstruction for environmental monitoring, visual learning and classification, face recognition, medical image analysis, classification of plankton, and aids for the visually impaired.
Plankton Classification
AERIAL IMAGING
VIDI: Sign Recognition
NSF – Joint with Machine Learning
lab and Bigelow Lab for Ocean
Sciences.
ROBOTS
NSF-- Joint with Duke Univ. Environmental modelling using aerial imaging and computer vision
NSF -- Visual Aid for the Blind Detect and Read Signs
HANDWRITING RECOGNITION
DSN: DISTRIBUTED
SENSOR NETWORKS
Learning digits from 1 example
Joint with Robotics perception and control
MEDICAL IMAGING
Object Tracking, Robotics & Virtual Worlds