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» Modeling shapes and textures from images: new frontiers
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CVPR
2001
IEEE
16 years 3 months ago
Learning Models for Object Recognition
We consider learning models for object recognition from examples. Our method is motivated by systems that use the Hausdorff distance as a shape comparison measure. Typically an ob...
Pedro F. Felzenszwalb
ISBI
2009
IEEE
15 years 8 months ago
Reduction of Distortions in MRSI Using a New Signal Model
We propose a new reconstruction scheme for magnetic resonance spectroscopic imaging (MRSI) signal based on minimizing the spatial total variation (TV) integrated with the 1 -norm ...
Ramin Eslami, Mathews Jacob
DPHOTO
2009
126views Hardware» more  DPHOTO 2009»
14 years 11 months ago
Measuring texture sharpness of a digital camera
A method for evaluating texture quality as shot by a camera is presented. It is shown that usual sharpness measurements are not completely satisfying for this task. A new target b...
Frédéric Cao, Frederic Guichard, Her...
MICCAI
2004
Springer
16 years 2 months ago
Implicit Active Shape Models for 3D Segmentation in MR Imaging
Extraction of structures of interest in medical images is often an arduous task because of noisy or incomplete data. However, handsegmented data are often available and most of the...
Mikaël Rousson, Nikos Paragios, Rachid Derich...
ICCV
2011
IEEE
14 years 1 months ago
From Contours to 3D Object Detection and Pose Estimation
This paper addresses view-invariant object detection and pose estimation from a single image. While recent work focuses on object-centered representations of point-based object fe...
Nadia Payet, Sinisa Todorovic