This paper discusses the wide baseline matching problem where the camera parameters are known up to an error factor and the ground surface is considered planar. Junctions of diffe...
The context-centered approach to object detection and recognition is based on the intuition that the contextual information of real-world scenes provides relevant information for ...
Collagen fiber bundles are important constituent parts of biological soft tissues, such as tendons, blood vessels and skin.The single collagen fibers within a bundle have a certai...
Gerhard Holzapfel, Horst Bischof, Pierre Elbischge...
In this paper we try to characterize a set of classification problems. For this, we use the disagreement between a set of standard classifiers. The disagreement patterns do not on...
David M. J. Tax, Elzbieta Pekalska, Robert P. W. D...
In this paper, Principal Component Analysis (PCA) is applied to the problem of Online Handwritten Character Recognition in the Tamil script. The input is a temporally ordered sequ...
A. G. Ramakrishnan, Sriganesh Madhvanath, V. Deepu
A new method of structural graph matching is introduced and compared against an existing method and against the maximum common subgraph. The method is approximate with polynomial ...
We present a fast, effective and flexible tone reproduction method that preserves visibility and contrast impression of high dynamic range scenes in low dynamic range reproduction...
We present a new contour analysis technique to detect people in thermal imagery. Background-subtraction is first used to identify local regions-of-interest. Gradient information w...
In this paper, we propose a method for recovering the reflectance properties of a moving Lambertian object from an image sequence of the object taken by a fixed camera under unkno...
Akihiro Sugimoto, Fei Du, Takahiro Okabe, Yoichi S...
In this study, a support vector machine (SVM) classifies real world data of cytogenetic signals measured from fluorescence in-situ hybridization (FISH) images in order to diagnose...