Projects per year
Integral image data structures are very useful in computer vision applications that involve machine learning approaches based on ensembles of weak learners. The weak learners often are simply several regional sums of intensities subtracted from each other. In this work we present a memory efficient integral volume data structure, that allows reduction of required RAM storage size in such a supervised learning framework using 3D training data. We evaluate our proposed data structure in terms of the tradeoff between computational effort and storage, and show an application for 3D object detection of liver CT data.
|Title of host publication||IEEE International Conference on Computer Vision Workshops (ICCVW)|
|Subtitle of host publication||Big Data in 3D Computer Vision|
|Publisher||Institute of Electrical and Electronics Engineers|
|Publication status||Published - 2013|
Fields of Expertise
- Information, Communication & Computing
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- 1 Finished
Klinisch-Forensische Bildgebung - Developing methods to standardize computer-assisted medical MRI datas [Original in Deutsch: Klinisch-Forensische Bildgebung] - Standard_MRT
Urschler, M., Bornik, A. & Bischof, H.
1/12/08 → 31/05/15
Project: Research project