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We present a boosting method that results in a decision tree rather than a fixed linear sequence of classifiers. An equally correct statement is that we present a tree-growing method whose performance can be analysed in the framework of Adaboost. We argue that Adaboost can be improved by presenting the input to a sequence of weak classifiers, each one tuned(More)
In this paper the possibility of driving egomotion in order to dock with a non-moving target using information on the rst order approximation of the optic ow in the center of the image is presented; speciically it will be shown how a camera mounted on the end-eeector of a six degrees of freedom robot arm can be driven toward a planar surface whose position(More)
We present a method for reconstruction of structured scenes from one or more views, in which the user provides image points and geometric knowledge-coplanarity, ratios of distances, angles-about the corresponding 3D points. First, the geometric information is analyzed. Then vanishing points are estimated, from which camera calibration is obtained. Finally,(More)
We address the 3D reconstruction of scenes in which some planarity, collinear-ity, symmetry and other geometric properties are known à-priori. Our main contribution is a reconstruction method that has advantages of both constraint-based and model-based methods. Like in the former, the reconstructed object needs not be an assemblage of predefined shapes.(More)
Cytoreductive surgery with hyperthermic intraperitoneal chemotherapy (HIPEC) has become an important tool in the management of patients with peritoneal malignancies. It is a complex surgical procedure with significant fluid loss during debulking leading to relevant pathophysiological alterations and therefore a challenge for anesthesiologists and critical(More)
In this paper, we develop a theory of non-parametric self-calibration. Recently, schemes have been devised for non-parametric laboratory calibration, but not for self-calibration. We allow an arbitrary warp to model the intrinsic mapping, with the only restriction that the camera is central and that the intrinsic mapping has a well-defined non-singular(More)
We consider the problem of estimating the relative orientation of a number of individual photocells-or pixels-that hold fixed relative positions. The photocells measure the intensity of light traveling on a pencil of lines. We assume that the light-field thus sampled is changing, e.g. as the result of motion of the sensors and use the obtained measurements(More)
This paper introduces a new video surveillance dataset that was captured by a network of synchronized cameras placed throughout an indoor setting and augmented with ground-truth data. The dataset includes ten minutes of footage of individuals who are moving throughout the sensor network. In addition, three scripted scenarios that contain behaviors exhibited(More)