Titlebook: Image Analysis; 14th Scandinavian Co Heikki Kalviainen,Jussi Parkkinen,Arto Kaarna Conference proceedings 2005 Springer-Verlag GmbH Germany

放氣

Spectral Imaging Technique for Visualizing the Invisible Information more information about the surface of target objects than perceived colour by human. This article describes our attempts to visualize the invisible information, such as the constituent distribution and internal microstructure of food and plant responses to the environmental stress, by a spectral im

賭博

Bayesian Image Segmentation Using MRF’s Combined with Hierarchical Prior Modelsacial relationship between image pixels, and approximate an observed image by a Gaussian mixture model. In this paper, we introduce into the statistical model a hierarchical prior structure from which model parameters are regarded as drawn. This would give an efficient Gibbs sampler for exploring th

蠟燭

Feature Extraction for Oil Spill Detection Based on SAR Images feature extraction step, aiming at identifying features that lead to significant improvements in classification performance compared to earlier reported results. Both traditional region descriptors, features tailored to oil spill detection and techniques originally associated with other application

SNEER

Light Field Reconstruction Using a Planar Patch Modelonstruction of novel views, however, often leads to ghosting artefacts, which can be relieved by correcting for the depth of objects within the scene using disparity compensation. Unfortunately, reconstructions from this disparity information suffer from a lack of information on the orientation and

刻苦讀書

Spectral Estimation of Skin Color with Foundation Makeupskin and gives basic color to skin. It is important evaluate a change of skin color by the foundation. The present paper modeled the optics of skin with foundation makeup by two layers. Then, the surface spectrum of skin with foundation makeup is estimated by the Kubelka-Munk theory for radiation tr

Solace

notion

兇殘

Object Evidence Extraction Using Simple Gabor Features and Statistical Rankingetection and recognition. The accuracy and reliability of the methods depend on the success of both tasks: evidence extraction and spatial constellation model search. In this study an accurate and efficient method for evidence extraction is introduced. The proposed method is based on simple Gabor fe

Locale

Dynamically Visual Learning for People Identification with Sparsely Distributed Camerasmethod, virtual viewpoint images are synthesized by interpolating the sparsely distributed images with a simple 3D shape model of the human head, so that virtual densely distributed multiple images can be obtained. The multiple images generate an initial eigenspace in the initial learning step. In t

aptitude

3D-Connected Components Analysis for Traffic Monitoring in Image Sequences Acquired from a Helicoptence was manually registered to a map. Corner points were extracted semi-automatically, then tracked along the sequence, to enable video stabilisation by homography estimation. Moving objects were detected by means of adaptive background subtraction. The vehicles were identified among many stabilisat