MOTIVATION Image analysis, machine learning and statistical modeling have become well established for the automatic recognition and comparison of the subcellular locations of proteins in microscope images. By using a comprehensive set of features describing static images, major subcellular patterns can be distinguished with near perfect accuracy. We now extend this work to time series images, w...

In many computer vision applications, segmenting and extraction of moving objects in video sequences is an essential task. Background subtraction, by which each input image is subtracted from the reference image, has often been used for this purpose. In this paper, we offer a novel background-subtraction technique for real-time dynamic background generation using color images that are taken fro...

This work advocates Eulerian motion representation learning over the current standard Lagrangian optical flow model. Eulerian motion is well captured by using phase, as obtained by decomposing the image through a complexsteerable pyramid. We discuss the gain of Eulerian motion in a set of practical use cases: (i) action recognition, (ii) motion prediction in static images, (iii) motion transfer...

Off-pump beating heart surgery requires a guidance system that would show both pertinent cardiac anatomy and dynamic motion both periand intra-operatively. Optimally, the guidance system should show high quality images and models in a cost-effective way and can be easily integrated into standard clinical workflow. However, such a goal is difficult to accomplish by a single image modality. In th...

This paper examines the eeectiveness of load balancing strategies for ray tracing on large parallel computersystems and cluster computers. Popular static load balancing strategiesare shown to be inadequate for rendering complex images with contemporary ray tracing algorithms, and for rendering NTSC resolution images on 128 or more computers. Strategies based on image tiling are shown to be inee...

This paper proposes a method to detect dynamic objects in the images obtained by a small UAV. Two geometric constraints in multi-view images are used to classify each of the extracted featurepoints as static or dynamic. The first constraint is the epipolar constraint which requires static points to lie on the corresponding epipolar lines in the subsequent image. The second constraint, named as ...