Generalized Image Acquisition and Analysis
Performance Capture of High-Speed Motion Using Staggered Multi-View Recording
We present a markerless performance capture system that can acquire the motion and the texture of human actors
performing fast movements using only commodity hardware. To this end we introduce two novel concepts: First, a
staggered surround multi-view recording setup that enables us to perform model-based motion capture on motion-blurred
images, and second, a model-based deblurring algorithm which is able to handle disocclusion, self-occlusion and
complex object motions. We show that the model-based approach is not only a powerful strategy for tracking but also for
deblurring highly complex blur patterns.
Projects
Interactive Geometry-Aware Segmentation for the Decomposition of Kaleidoscopic Images
VMV 2012
Abstract
Mirror systems have recently emerged as an alternative low-cost multi-view imaging solution. The use of these
systems critically depends on the ability to compute the background of a multiply mirrored object. The images
taken in such systems show a fractured, patterned view, making edge-guided segmentation difficult. Further,
global illumination and light attenuation due to the mirrors make standard segmentation techniques fail.
We therefore propose a system that allows a user to do the segmentation manually. We provide convenient tools
that enable an interactive segmentation of kaleidoscopic images containing three-dimensional objects. Hereby, we
explore suitable interaction and visualization schemes to guide the user. To achieve interactivity, we employ the
GPU in all stages of the application, such as 2D/3D rendering as well as segmentation.
Video Demo Data Set Bibtex
@InProceedings{Klehm12,
author = {Oliver Klehm, Ilya Reshetouski, Elmar Eisemann, Hans-Peter Seidel, and Ivo Ihrke},
title = "{Interactive Geometry-Aware Segmentation for the Decomposition of Kaleidoscopic Images }",
booktitle = {Proceedings of VMV},
pages = "xx--yy",
year = {2012},
}
author = {Oliver Klehm, Ilya Reshetouski, Elmar Eisemann, Hans-Peter Seidel, and Ivo Ihrke},
title = "{Interactive Geometry-Aware Segmentation for the Decomposition of Kaleidoscopic Images }",
booktitle = {Proceedings of VMV},
pages = "xx--yy",
year = {2012},
}