As many users of imaging technologies, space agencies are rapidly building up massive image databases. A particularity of these databases is that they are made of images with diffe...
In this paper we compare the performance of local detectors and descriptors in the context of object class recognition. Recently, many detectors / descriptors have been evaluated ...
This paper presents an orientation operator to extract image local orientation features. We show that a proper employment of image integration leads to an unbiased orientation est...
Recent work in object categorization often uses local image descriptors such as SIFT to learn and detect object categories. Such descriptors explicitly code local appearance and h...
We present a discriminative shape-based algorithm for object category localization and recognition. Our method learns object models in a weakly-supervised fashion, without requiri...
Marius Leordeanu, Martial Hebert, Rahul Sukthankar