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» Mining from Large Image Sets
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TIP
2010
146views more  TIP 2010»
15 years 4 months ago
Effective Level Set Image Segmentation With a Kernel Induced Data Term
Abstract—This study investigates level set multiphase image segmentation by kernel mapping and piecewise constant modeling of the image data thereof. A kernel function maps impli...
Mohamed Ben Salah, Amar Mitiche, Ismail Ben Ayed
ICPR
2008
IEEE
16 years 7 months ago
Synthesis of large realistic iris databases using patch-based sampling
This paper presents a framework to synthesize large realistic iris databases, providing an alternative to iris database collection. Firstly, iris patch is used as a basic element ...
Tieniu Tan, Zhenan Sun, Zhuoshi Wei
MIR
2003
ACM
178views Multimedia» more  MIR 2003»
15 years 11 months ago
A bootstrapping approach to annotating large image collection
Huge amount of manual efforts are required to annotate large image/video archives with text annotations. Several recent works attempted to automate this task by employing supervis...
HuaMin Feng, Tat-Seng Chua
CVPR
2012
IEEE
13 years 8 months ago
Filling large holes in LiDAR data by inpainting depth gradients
We introduce a technique to fill large holes in LiDAR data sets. We combine concepts from patch-based image inpainting and gradient-domain image editing to simultaneously fill b...
David Doria, Richard J. Radke
AINA
2007
IEEE
16 years 10 days ago
Mining Visual Knowledge for Multi-Lingual Image Retrieval
Users commonly rely just on scarce textual annotation when their searches for images are semantic or conceptual based. Rich visual information is often thrown away in basic annota...
Masashi Inoue