In this paper, we present a new algorithm for reconstructing an environment from images recorded by multiple calibrated cameras. Multiple camera systems challenge traditional ster...
We present a simple and universal camera calibration method. Instead of extensive setups we are exploiting the accurate angular positions of fixed stars. High precision is achieve...
Andreas Klaus, Joachim Bauer, Konrad F. Karner, Pi...
We present a model-based method for hand posture recognition in monocular image sequences that measures joint angles, viewing angle, and position in space. Visual markers in form o...
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
Kearns introduced the "statistical query" (SQ) model as a general method for producing learning algorithms which are robust against classification noise. We extend this ...