Weakly supervised discovery of common visual structure in highly variable, cluttered images is a key problem in recognition. We address this problem using deformable part-based mo...
Abstract. Patch based approaches have recently shown promising results for the recognition of visual object classes. This paper investigates the role of different properties of pat...
Alexandra Teynor, Esa Rahtu, Lokesh Setia, Hans Bu...
We present a new active active recognition scheme (using an uncalibrated camera) based on a new idea, appearancebased aspect graphs. The scheme is robust to background clutter, an...
In this paper, we propose a practical object recognition system which consists of two functional modules. The first is object extraction module using a range image, and the second...
This paper presents a probabilistic part-based approach for texture and object recognition. Textures are represented using a part dictionary found by quantizing the appearance of ...