In this paper, we introduce a local image descriptor, DAISY, which is very efficient to
compute densely. We also present an EM-based algorithm to compute dense depth and …

We present a new approach for large-scale multi-view stereo matching, which is designed to
operate on ultra high-resolution image sets and efficiently compute dense 3D point clouds …

We introduce a novel local image descriptor designed for dense wide-baseline matching
purposes. We feed our descriptors to a graph-cuts based dense depth map estimation …

Computer vision encompasses the construction of integrated vision systems and the
application of vision to problems of real-world importance. The process of creating 3D …

Human beings process stereoscopic correspondence across multiple scales. However, this
bio-inspiration is ignored by state-of-the-art cost aggregation methods for dense stereo …

Second-order priors on the smoothness of 3D surfaces are a better model of typical scenes
than first-order priors. However, stereo reconstruction using global inference algorithms …

This paper presents an efficient implementation for correlation based stereo. Research in
this area can roughly be divided in two classes: improving accuracy regardless of computing …

In this paper we show that a classic optical flow technique by Nagel and Enkelmann (1986,
IEEE Trans. Pattern Anal. Mach. Intell., Vol. 8, pp. 565–593) can be regarded as an early …

This paper presents a statistical anomaly detection algorithm based on Markov chains. Our
algorithm can be directly applied for intrusion detection by discovering anomalous activities …

This paper describes a method for dense depth reconstruction from a small set of wide-
baseline images. In a wide-baseline setting an inherent difficulty which complicates the …