Browse by Subject "Computer vision"
Now showing items 1-11 of 11
(2012-02-06)An image is nothing but a projection of the physical world around us, where objects do not occur randomly but follow certain spatial rules. Many existing computer vision approaches tend to ignore this aspect of understanding ...
(2014-12-05)The sparsity of signals and images in a certain transform domain or dictionary has been exploited in many applications in signal processing, image processing, and medical imaging. Analytical sparsifying transforms such as ...
(2015-01-21)Combined Sewer Systems (CSS) exist in over 700 communities across the United States. Under extreme wet conditions, excess inflow which is beyond the capacity of CSS results in Combined Sewer Overflows (CSOs); the consequence ...
D4AR-4 dimensional augmented reality-models for automation and interactive visualization of construction progress monitoring (2012-08-02)Early detection of actual or potential performance deviations in field construction activities is critical to project management as it provides an opportunity to initiate proactive actions to avoid these deviations or ...
(2012-02-06)Recognition is a deep and fundamental question in computer vision. If approached correctly, object recognition provides insight to several interesting problems with crucial applications. In a typical setting, recognition ...
(2015-01-21)The phenotype of any organism, or as in this case, plants, includes traits or characteristics that can be measured using a technical procedure. Phenotyping is an important activity in plant breeding, since it gives breeders ...
(Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, 1997-09)
(Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, 1989-09)
(Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, 1987-04)
(Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, 1975-12)
Visual Understanding of Hybrid Circuits via Procedural Models: An Approach to Automatic Inspection of Hybrid Circuits (Coordinated Science Laboratory, University of Illinois at Urbana-Champaign, 1975-12)