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Incremental Linear Discriminant Analysis Using Sufficient Spanning Sets and  Its Applications
Incremental Linear Discriminant Analysis Using Sufficient Spanning Sets and Its Applications

Coded Aperture Pairs for Depth from Defocus and Defocus Deblurring
Coded Aperture Pairs for Depth from Defocus and Defocus Deblurring

Optical imaging for medical diagnosis based on active stereo vision and  motion tracking
Optical imaging for medical diagnosis based on active stereo vision and motion tracking

Adaptive imaging system with spatial light modulator for robust shape  measurement of partially specular objects
Adaptive imaging system with spatial light modulator for robust shape measurement of partially specular objects

Measuring and Predicting Object Importance
Measuring and Predicting Object Importance

Publication List (Hans-Christian Hege) - ZIB
Publication List (Hans-Christian Hege) - ZIB

Multi-Class Active Learning by Uncertainty Sampling with Diversity  Maximization
Multi-Class Active Learning by Uncertainty Sampling with Diversity Maximization

Unique hue data and <fc>CIECAM</fc>02: A comment on <fc>X</fc>iao et al
Unique hue data and <fc>CIECAM</fc>02: A comment on <fc>X</fc>iao et al

A Super-Resolution Framework for High- Accuracy Multiview Reconstruction  Bastian Goldlücke, Mathieu Aubry, Kalin Kolev & Da
A Super-Resolution Framework for High- Accuracy Multiview Reconstruction Bastian Goldlücke, Mathieu Aubry, Kalin Kolev & Da

Stereoscopic Scene Flow Computation for 3D Motion Understanding
Stereoscopic Scene Flow Computation for 3D Motion Understanding

Image Guided Reconstruction of Un-sampled Data: A Filling Technique for  Cultural Heritage Models
Image Guided Reconstruction of Un-sampled Data: A Filling Technique for Cultural Heritage Models

PDF) Evaluation of Face Datasets as Tools for Assessing the Performance of  Face Recognition Methods | Lior Shamir - Academia.edu
PDF) Evaluation of Face Datasets as Tools for Assessing the Performance of Face Recognition Methods | Lior Shamir - Academia.edu

INT J COMPUT VIS - International Journal of Computer Vision
INT J COMPUT VIS - International Journal of Computer Vision

Learning Good Regions to Deblur Images
Learning Good Regions to Deblur Images

Editorial for the Special Issue on Photometric Analysis for Computer Vision
Editorial for the Special Issue on Photometric Analysis for Computer Vision

Diffusion-based three-dimensional reconstruction of complex surface using  monocular vision
Diffusion-based three-dimensional reconstruction of complex surface using monocular vision

Learning Photometric Invariance for Object Detection
Learning Photometric Invariance for Object Detection

Frontiers | Computer Vision, Machine Learning, and the Promise of Phenomics  in Ecology and Evolutionary Biology
Frontiers | Computer Vision, Machine Learning, and the Promise of Phenomics in Ecology and Evolutionary Biology

Do We Need More Training Data?
Do We Need More Training Data?

Learning Probabilistic Models for Contour Completion in Natural Images
Learning Probabilistic Models for Contour Completion in Natural Images

PDF) A Wavelet Perspective on Variational Perceptually-Inspired Color  Enhancement, Int J Comput Vis
PDF) A Wavelet Perspective on Variational Perceptually-Inspired Color Enhancement, Int J Comput Vis

A Computational Learning Theory of Active Object Recognition Under  Uncertainty
A Computational Learning Theory of Active Object Recognition Under Uncertainty

An Image Segmentation model Using a Level Set Method Based on Improved  Signed Pressure Force function SPF
An Image Segmentation model Using a Level Set Method Based on Improved Signed Pressure Force function SPF

PDF) A Multi-Image Shape-from-Shading Framework for Near-Lighting  Perspective Endoscopes
PDF) A Multi-Image Shape-from-Shading Framework for Near-Lighting Perspective Endoscopes

A Survey and Comparison of Discrete and Continuous Multi-label Optimization  Approaches for the Potts Model
A Survey and Comparison of Discrete and Continuous Multi-label Optimization Approaches for the Potts Model

Coding of Image Feature Descriptors for Distributed Rate-efficient Visual  Correspondences
Coding of Image Feature Descriptors for Distributed Rate-efficient Visual Correspondences