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We demonstrate the performance of our interest point detector/descriptor scheme SURF – Speeded Up Robust Features – in an application that finds correspondences to a reference image in realtime. The user takes a reference image with a handheld video camera and then moves the camera around the object. The system identifies interest points in every newly(More)
This article presents a novel scaleand rotation-invariant detector and descriptor, coined SURF (Speeded-Up Robust Features). SURF approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness, yet can be computed and compared much faster. This is achieved by relying on integral images for image(More)
We present a new method for matching line segments between two uncalibrated wide-baseline images. Most current techniques for wide-baseline matching are based on viewpoint invariant regions. Those methods work well with highly textured scenes, but fail with poorly textured ones. We show that such scenes can be successfully matched using line segments.(More)
In this paper, we describe the application of the novel SURF (Speeded Up Robust Features) algorithm [1] for the recognition of objects of art. For this purpose, we developed a prototype of a mobile interactive museum guide consisting of a tablet PC that features a touchscreen and a webcam. This guide recognises objects in museums based on images taken by(More)
In this thesis, we tackle the problem of point and line segment correspondences between two images. The images are supposed to be taken under wide-baseline conditions: a fact which represents an additional challenge for reliable feature matching. Image feature correspondences are used for many computer vision tasks. We demonstrate the performance of our(More)
Laser photocoagulation is a proven procedure to treat various pathologies of the retina. Challenges such as motion compensation, correct energy dosage, and avoiding incidental damage are responsible for the still low success rate. They can be overcome with improved instrumentation, such as a fully automatic laser photocoagulation system. In this paper, we(More)
In this paper, we describe the prototype of an interactive museum guide. It runs on a tablet PC that features a touchscreen, a webcam and a Bluetooth receiver. This guide recognises objects on display in museums based on images of the latter which are taken directly by the visitor. Furthermore, the computer can determine the visitor’s location by receiving(More)
The presented work illustrates the potential of an IK algorithm enforcing priorities among constraints for motion editing. Motion capture is a very efficient technique to deliver believable motions but usually most of the captured motions need to be edited before they match the end-user’s needs. Motion editing can be achieved by applying constraints to(More)
We show the feasibility and the potential of a new signal processing algorithm for the high-resolution deconvolution of OCT signals. Our technique relies on the description of the measures in a parametric form, each set of four parameters describing the optical characteristics of a physical interface (e.g., complex refractive index, depth). Under the(More)