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EMMCVPR
2011
Springer
13 years 9 months ago
High Resolution Segmentation of Neuronal Tissues from Low Depth-Resolution EM Imagery
The challenge of recovering the topology of massive neuronal circuits can potentially be met by high throughput Electron Microscopy (EM) imagery. Segmenting a 3-dimensional stack o...
Daniel Glasner, Tao Hu, Juan Nunez-Iglesias, Lou S...
CVPR
2012
IEEE
13 years 12 days ago
Real-time facial feature detection using conditional regression forests
Although facial feature detection from 2D images is a well-studied field, there is a lack of real-time methods that estimate feature points even on low quality images. Here we pr...
Matthias Dantone, Juergen Gall, Gabriele Fanelli, ...
MICCAI
2008
Springer
15 years 11 months ago
3D Brain Segmentation Using Active Appearance Models and Local Regressors
We describe an efficient and accurate method for segmenting sets of subcortical structures in 3D MR images of the brain. We first find the approximate position of all the structure...
Kolawole O. Babalola, Timothy F. Cootes, Carole ...
IJCV
2008
167views more  IJCV 2008»
14 years 10 months ago
Learning Layered Motion Segmentations of Video
We present an unsupervised approach for learning a generative layered representation of a scene from a video for motion segmentation. The learnt model is a composition of layers, ...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...
ICANN
2009
Springer
15 years 4 months ago
Multimodal Sparse Features for Object Detection
In this paper the sparse coding principle is employed for the representation of multimodal image data, i.e. image intensity and range. We estimate an image basis for frontal face i...
Martin Haker, Thomas Martinetz, Erhardt Barth