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» Robust Autonomous Model Learning from 2D and 3D Data Sets
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DCC
2011
IEEE
14 years 4 months ago
Robust Learning of 2-D Separable Transforms for Next-Generation Video Coding
With the simplicity of its application together with compression efficiency, the Discrete Cosine Transform(DCT) plays a vital role in the development of video compression standar...
Osman Gokhan Sezer, Robert A. Cohen, Anthony Vetro
ICCV
2007
IEEE
15 years 3 months ago
Fast Automatic Heart Chamber Segmentation from 3D CT Data Using Marginal Space Learning and Steerable Features
Multi-chamber heart segmentation is a prerequisite for global quantification of the cardiac function. The complexity of cardiac anatomy, poor contrast, noise or motion artifacts ...
Yefeng Zheng, Adrian Barbu, Bogdan Georgescu, Mich...
SSIAI
2002
IEEE
15 years 2 months ago
Volumetric Segmentation via 3D Active Shape Models
A volumetric image segmentation algorithm has been developed and implemented by extending a 2D algorithm based on Active Shape Models. The new technique allows segmentation of 3D ...
Molly M. Dickens, Shaun S. Gleason, Hamed Sari-Sar...
ICCV
2009
IEEE
14 years 7 months ago
Constructing implicit 3D shape models for pose estimation
We present a system that constructs "implicit shape models" for classes of rigid 3D objects and utilizes these models to estimating the pose of class instances in single...
Mica Arie-Nachimson, Ronen Basri
IJCV
2010
184views more  IJCV 2010»
14 years 8 months ago
A 3D Shape Retrieval Framework Supporting Multimodal Queries
This paper presents a unified framework for 3D shape retrieval. The method supports multimodal queries (2D images, sketches, 3D objects) by introducing a novel view-based approach...
Petros Daras, Apostolos Axenopoulos