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DAGM
2010
Springer
13 years 9 months ago
Semi-supervised Learning of Edge Filters for Volumetric Image Segmentation
Abstract. For every segmentation task, prior knowledge about the object that shall be segmented has to be incorporated. This is typically performed either automatically by using la...
Margret Keuper, Robert Bensch, Karsten Voigt, Alex...
DAGM
2010
Springer
13 years 9 months ago
Learning of Optimal Illumination for Material Classification
We present a method to classify materials in illumination series data. An illumination series is acquired using a device which is capable to generate arbitrary lighting environment...
Markus Jehle, Christoph Sommer, Bernd Jähne
DAGM
2010
Springer
13 years 9 months ago
Incremental Learning in the Energy Minimisation Framework for Interactive Segmentation
In this article we propose a method for parameter learning within the energy minimisation framework for segmentation. We do this in an incremental way where user input is required ...
Denis Kirmizigül, Dmitrij Schlesinger
MM
2010
ACM
251views Multimedia» more  MM 2010»
13 years 9 months ago
A cognitive approach for effective coding and transmission of 3D video
Reliable delivery of 3D video contents to a wide set of users is expected to be the next big revolution in multimedia applications provided that it is possible to grant a certain ...
Simone Milani, Giancarlo Calvagno
DAGM
2009
Springer
13 years 10 months ago
Depth Imaging by Combining Time-of-Flight and On-Demand Stereo
In this paper we present a framework for computing depth images at interactive rates. Our approach is based on combining time-of-flight (TOF) range data with stereo vision. We use ...
Uwe Hahne, Marc Alexa
DAGM
2009
Springer
13 years 10 months ago
Realistic Depth Blur for Images with Range Data
Abstract. We present a system that allows for changing the major camera parameters after the acquisition of an image. Using the high dynamic range composition technique and additio...
Benjamin Huhle, Timo Schairer, Philipp Jenke, Wolf...
DAGM
2009
Springer
13 years 10 months ago
A Gradient Descent Approximation for Graph Cuts
Abstract. Graph cuts have become very popular in many areas of computer vision including segmentation, energy minimization, and 3D reconstruction. Their ability to find optimal res...
Alparslan Yildiz, Yusuf Sinan Akgul
DAGM
2010
Springer
13 years 10 months ago
Gaussian Mixture Modeling with Gaussian Process Latent Variable Models
Density modeling is notoriously difficult for high dimensional data. One approach to the problem is to search for a lower dimensional manifold which captures the main characteristi...
Hannes Nickisch, Carl Edward Rasmussen
DAGM
2010
Springer
13 years 10 months ago
From Box Filtering to Fast Explicit Diffusion
Sven Grewenig, Joachim Weickert, Andrés Bru...
DAGM
2010
Springer
13 years 10 months ago
Local Regression Based Statistical Model Fitting
Fitting statistical models is a widely employed technique for the segmentation of medical images. While this approach gives impressive results for simple structures, shape models a...
Matthias Amberg, Marcel Lüthi, Thomas Vetter