A
Andrés Bruhn
Researcher at University of Stuttgart
Publications - 95
Citations - 9062
Andrés Bruhn is an academic researcher from University of Stuttgart. The author has contributed to research in topics: Optical flow & Motion estimation. The author has an hindex of 36, co-authored 95 publications receiving 8474 citations. Previous affiliations of Andrés Bruhn include Saarland University.
Papers
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Book ChapterDOI
Joint estimation of motion, structure and geometry from stereo sequences
Levi Valgaerts,Andrés Bruhn,Henning Zimmer,Joachim Weickert,Carsten Stoll,Christian Theobalt +5 more
TL;DR: A joint energy functional is proposed that integrates spatial and temporal information from two subsequent image pairs subject to an unknown stereo setup and a normalisation of image and stereo constraints such that deviations from model assumptions can be interpreted in a geometrical way.
Book ChapterDOI
Real-Time Optic Flow Computation with Variational Methods
TL;DR: It is shown that real-time variational computation of optic flow fields is possible when appropriate methods are combined with modern numerical techniques, and the CLG method is considered, a recent variational technique that combines the quality of the dense flow fields of the Horn and Schunck approach with the noise robustness of the Lucas–Kanade method.
Journal ArticleDOI
Understanding, Optimising, and Extending Data Compression with Anisotropic Diffusion
Christian Schmaltz,Pascal Peter,Markus Mainberger,Franziska Ebel,Joachim Weickert,Andrés Bruhn +5 more
TL;DR: It is demonstrated that it is even possible to beat the quality of JPEG 2000 with EED if one uses specific subdivisions on rectangles and several important optimisations, including improved entropy coding, brightness and diffusivity optimisation, and interpolation swapping.
Book ChapterDOI
Optic flow goes stereo: a variational method for estimating discontinuity-preserving dense disparity maps
TL;DR: A novel variational method for estimating dense disparity maps from stereo images that integrates the epipolar constraint into the currently most accurate optic flow method and offers several advantages compared to existing variational methods.
Journal ArticleDOI
Edge-based compression of cartoon-like images with homogeneous diffusion
TL;DR: It is shown that for cartoon-like images this codec can outperform the JPEG standard and even its more advanced successor JPEG2000 and be able to encode and decode in real time.