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109
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ICIP
2007
IEEE
16 years 2 months ago
Large Scale Learning of Active Shape Models
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
Atul Kanaujia, Dimitris N. Metaxas
85
Voted
ICIP
2006
IEEE
16 years 2 months ago
Super-Resolution on Moving Objects and Background
Unlike most Super-Resolution (SR) methods described in literature, which perform only SR reconstruction on the background of an image scene, we propose a framework that performs S...
Adam W. M. van Eekeren, Klamer Schutte, Judith Dij...
89
Voted
MICCAI
2007
Springer
16 years 1 months ago
Accuracy Assessment of Global and Local Atrophy Measurement Techniques with Realistic Simulated Longitudinal Data
The main goal of this work was to assess the accuracy of several well-known methods which provide global (BSI and SIENA) or local (Jacobian integration) estimates of longitudinal a...
Oscar Camara, Rachael I. Scahill, Julia A. Schnabe...
105
Voted
ISBI
2008
IEEE
16 years 1 months ago
Investigating implicit shape representations for alignment of livers from serial CT examinations
In this paper, we examine the use of implicit shape representations for nonrigid registration of serial CT liver examinations. Using ground truth in the form of corresponding land...
Nathan D. Cahill, Grace Vesom, Lena Gorelick, Joan...
101
Voted
ICIP
2007
IEEE
15 years 7 months ago
Object-Based Multiple Sprite Coding of Unsegmented Videos using H.264/AVC
In spite of recent progress in the development of hybrid block-based video codecs, it has been shown that for low-bitrate scenarios there is still coding gain applying object-base...
Matthias Kunter, Andreas Krutz, Michael Drose, Mic...