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» Shape Band: A Deformable Object Detection Approach
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ICAT
2003
IEEE
15 years 3 months ago
Extracting Rheological Properties of Deformable Objects with Haptic Vision
In this paper, we propose a novel approach to extracting rheological properties of deformable objects based on Haptic vision, which was proposed for vision-based automatic constru...
Naoki Ueda, Kiyotaka Kushihama, Shin-iti Hirai, Hi...
AVSS
2006
IEEE
15 years 3 months ago
Analysis of LIDAR Data Fused with Co-Registered Bands
In the past decade, LIght Detection And Ranging (LIDAR) has been recognised by both the commercial and public sector as a reliable and accurate source for land surveying. Object c...
Marc Bartels, Hong Wei, James M. Ferryman
ACCV
2007
Springer
15 years 4 months ago
Object Detection Combining Recognition and Segmentation
Abstract. We develop an object detection method combining top-down recognition with bottom-up image segmentation. There are two main steps in this method: a hypothesis generation s...
Liming Wang, Jianbo Shi, Gang Song, I-fan Shen
MICCAI
2003
Springer
15 years 10 months ago
Segmentation, Registration, and Deformation Analysis of 3D MR Images of Mice
We demonstrate our mouse MR image and shape analysis pipeline. The long term goal of our work is the description of structural shape variations in normal, genetically identical mic...
Ghassan Hamarneh, Josette Chen, Brian Neiman, Jeff...
ECCV
2010
Springer
15 years 1 months ago
Exploring Ambiguities for Monocular Non-Rigid Shape Estimation
Recovering the 3D shape of deformable surfaces from single images is difficult because many different shapes have very similar projections. This is commonly addressed by restricti...