Automatic Label Completion for Test Field Calibration

Automatic Marker Field Calibration

In many augmented reality applications a marker field (set of markers) is used to define the 3Dcoordinate transformation between the camera and the virtual objects. In most systems, the physical positions and pose of each marker relative to each others need to be measured in advance. This calibration process is often time consuming and inaccurate if done by hand. We present an automatic calibra...

Automatic Registration and Calibration for Efficient Surface Light Field Acquisition

This paper presents a novel protocol for the acquisition of surface light fields which is designed to deal with delicate objects that might not be touched or moved. This constraint is particularly important when art pieces are involved. Our protocol enables the automatic reconstruction of a model from many range images and the automatic registration of many pictures with the acquired geometry. ...

Integrated Self-Test and Calibration for Field-Programmable Analog Arrays

Matrix Completion for Multi-label Image Classification

Recently, image categorization has been an active research topic due to the urgent need to retrieve and browse digital images via semantic keywords. This paper formulates image categorization as a multi-label classification problem using recent advances in matrix completion. Under this setting, classification of testing data is posed as a problem of completing unknown label entries on a data ma...

 A novel approach to automatic position calibration for pixelated crystals in gamma imaging

Introduction: The position estimation in gamma detection system will have constant misplacements which can be corrected in the calibration procedure. In the pixelated crystal uniformly irradiation of detector will produce irregular shape due to position estimation errors. This image is called flood field image and is used to calibrate the position estimation. In this work we pr...