EMMCVPR
2009
Springer
13 years 9 months ago
2009
Springer
Determining Euclidean transformations for the robust registration of noisy unstructured point sets is a key problem of model-based computer vision and numerous industrial applicati...
EMMCVPR
2009
Springer
14 years 3 months ago
2009
Springer
An edge-sensitive variational approach for the restoration of optical flow fields is presented. Real world optical flow fields are frequently corrupted by noise, reflection artifac...
EMMCVPR
2009
Springer
14 years 3 months ago
2009
Springer
Complex diffusion was introduced in the image processing literature as a means to achieve simultaneous denoising and enhancement of scalar valued images. In this paper, we present ...
EMMCVPR
2009
Springer
14 years 4 months ago
2009
Springer
EMMCVPR
2009
Springer
14 years 4 months ago
2009
Springer
Global region-based active contours, like the Chan-Vese model, often make strong assumptions on the intensity distributions of the searched object and background, preventing their ...
EMMCVPR
2009
Springer
14 years 6 months ago
2009
Springer
The problem of recovering a high-resolution image from a set of distorted (e.g., warped, blurred, noisy) and low-resolution images is known as super-resolution. Accurate motion est...
EMMCVPR
2009
Springer
14 years 6 months ago
2009
Springer
Generative kernels represent theoretically grounded tools able to increase the capabilities of generative classification through a discriminative setting. Fisher Kernel is the fi...
EMMCVPR
2009
Springer
14 years 6 months ago
2009
Springer
Optimization with graph cuts became very popular in recent years. As more applications rely on graph cuts, different energy functions are being employed. Recent evaluation of optim...
EMMCVPR
2009
Springer
14 years 6 months ago
2009
Springer
7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, Bonn, Germany, August 24-27, 2009 Medical image segmentation appears to be ...
EMMCVPR
2009
Springer
14 years 6 months ago
2009
Springer
We present an approach for identifying and segmenting independently moving objects from dense scene flow information, using a moving stereo camera system. The detection and segmen...