Pattern variation is a major factor that affects the performance of recognition systems. In this paper, a novel manifold tangent modeling method called Discriminant Additive Tange...
We describe a high-speed vision system for real-time applications, which is capable of processing visual information at a frame rate of 1 kfps, including both imaging and processi...
This paper explores how to exploit shape information to perform object class recognition. We use a sparse partbased model to describe object categories defined by shape. The spars...
Josephine Sullivan, Oscar M. Danielsson, Stefan Ca...
Sign board detection is important for such computer vision applications as video surveillance and content based visual information retrieval. Previous researches on this topic foc...
Kernel classifiers based on Support Vector Machines (SVM) have recently achieved state-of-the art results on several popular datasets like Caltech or Pascal. This was possible by...