A combination of several classifiers using global features for the content description of medical images is proposed. Beside well known texture histogram features, downscaled representations of the original images are used, which preserve spatial information and utilize distance measures which are robust with regard to common variations in radiation dose, translation, and local deformation. The...

Atlas selection and combination are two critical factors affecting the performance of atlas-based segmentation methods. In the existing works, those tasks are completed in the original image space. However, the intrinsic similarity between the images may not be accurately reflected by the Euclidean distance in this high-dimensional space. Thus, the selected atlases may be away from the input im...

In this work, we propose a robust visual odometry system for RGBD sensors. The core of our method is a combination of edge images and depth maps for joint camera pose estimation. Edges are more stable under varying lighting conditions than raw intensity values and depth maps further add stability in poorly textured environments. This leads to higher accuracy and robustness in scenes, where feat...

Recently a lot of research has been directed towards the question: What can be done with “brute-force vision” using huge amounts of data? Image retrieval methods have been shown to succeed on collections of images with sizes over a million. Various applications such as object recognition, 3D geometrical arrangment of images showing the same scene or inferring missing image regions can benefit f...

Skin tone images, portraits in particular, are of tremendous importance in digital photography, but a number of factors, such as pigmentation irregularities (e.g., moles, freckles), irritation, roughness, or wrinkles can reduce their appeal. Moreover, such “defects” are oftentimes enhanced by lighting conditions, e.g., when a flash is used. Starting with the observations that melanin and hemogl...

The recognition of people orientation in single images is still an open issue in several real cases, when the image resolution is poor, body parts cannot be distinguished and localized or motion cannot be exploited. However, the estimation of a person orientation, even an approximated one, could be very useful to improve people tracking and re-identification systems, or to provide a coarse alig...

The implementation of a Structure-from-Motion (SfM) pipeline from a synthetically generated scene as well as the investigation of the faithfulness of diverse reconstructions is the subject of this project. A series of different SfM reconstructions are implemented and their camera pose estimations are being contrasted with their respective ground truth locations. Finally, injection of ground tru...

We demonstrate how the problem of speaker diarization can be solved using both gesture and speaker parametric models. The novelty of our solution is that we approach the speaker diarization problem as a speaker recognition problem after learning speaker models from speech samples corresponding to gestures (the occurrence of gestures indicates the presence of speech and the location of gestures ...

Aircraft do not follow the same route each ight so an accurate analysis of the underlying areas aaected by noise cannot be achieved by considering individual aircraft tracks. This paper describes a method for combining multiple images of aircraft tracks to obtain anàverage' ight path using the Distance Transform as a pre-processing step. The procedures used to average the images of aircraft tra...

One of the main problems with fractal compression of images is the long encoding time, due to the repeated search of the domain block pool. Faster search can be achieved through block classification. This is done by grouping the domain blocks independently and online into predefined classes. Only the class of a range block is then searched for a matching domain. In [I], we presented another met...