Given an image, we propose a hierarchical generative
model that classifies the overall scene, recognizes and segments
each object component, as well as annotates the image
with ...
We develop an object classification method that can learn a novel class from a single training example. In this method, experience with already learned classes is used to facilita...
A new method for object tracking in video sequences is presented. This method exploits the benefits of particle filters to tackle the multimodal distributions emerging from clutte...
Alexandros Makris, Dimitrios I. Kosmopoulos, Stavr...
The following data fusion problem is considered: Given a 3D geometric model of an object and two uncalibrated images of the same object, and assuming that the object surface is te...
We present a framework that retains ambiguity in feature matching to increase the performance of 3D object recognition systems. Whereas previous systems removed ambiguous correspo...