Abstract. We present a method for learning feature descriptors using multiple images, motivated by the problems of mobile robot navigation and localization. The technique uses the ...
Jason Meltzer, Ming-Hsuan Yang, Rakesh Gupta, Stef...
A spatially adaptive image deblurring algorithm is presented for Poisson observations. It adapts to the unknown image smoothness by using local polynomial approximation (LPA) kern...
Alessandro Foi, Sakari Alenius, Mejdi Trimeche, Vl...
This paper concerns the characterization of clouds on meteorological satellite image sequences through points trajectories. These temporal curves can be computed from the result o...
The timestamps of now-relative bitemporal databases are modeled as growing, shrinking, or rectangular regions. The shape of these regions makes it a challenge to design bitemporal...
In kernel density estimation methods, an approximation of the data probability density function is achieved by locating a kernel function at each data location. The smoothness of ...