In this paper we propose a new distributed learning method called distributed network boosting (DNB) algorithm for distributed applications. The learned hypotheses are exchanged b...
In pattern recognition, feature vectors are occasionally subject to non-negative constraints. This characteristic can be expressed by a cone in feature vector space. In this paper...
In this paper, we present a set of texture features that are locally invariant to similarity or affinity. The proposed indexing scheme relies on the topographic map, a shape-based...
This paper proposes a free-viewpoint imaging method that can be used in a complicated scene such as an office room by using sparsely located cameras. In our method, a free-viewpoi...
We present a method to classify images into different categories of pornographic content to create a system for filtering pornographic images from network traffic. Although differ...
The relative position between two objects in a 2D raster image is often represented quantitatively by a force histogram. In the general case, force histograms are computed in O(KN...
The paper presents an incremental method for accurate iris segmentation. Firstly, observing the characteristics of iris images, we search for a square region that contains pupil w...
Object pose may be determined from a set of 2D image points and corresponding 3D model points, given the camera's intrinsic parameters. In this paper, two new exterior orient...
John Martin Steinbis, Tyrone Vincent, William A. H...
We propose the use of 3D (2D+time) Shape Context to recognize the spatial and temporal details inherent in human actions. We represent an action in a video sequence by a 3D point ...
Franziska Meier, Irfan A. Essa, Matthias Grundmann