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CLASSIFICATION OF POLE-LIKE OBJECTS USING POINT CLOUDS AND IMAGES CAPTURED BY MOBILE MAPPING SYSTEMS
Mobile Mapping System Point-Cloud Pole-Like Object Machine Learning Convolutional Neural Network
2018/6/4
The vehicle-based mobile mapping system (MMS) is effective for capturing 3D shapes and images of roadside objects. The laser scanner and cameras on the MMS capture point-clouds and sequential digital ...
EVALUATION OF DEEP LEARNING BASED STEREO MATCHING METHODS: FROM GROUND TO AERIAL IMAGES
Dense image matching Deep learning Convolutional neural network Aerial stereos Transfer learning
2018/6/4
Dense stereo matching has been extensively studied in photogrammetry and computer vision. In this paper we evaluate the application of deep learning based stereo methods, which were raised from 2016 a...
SMALL NODULES LOCALIZATION ON CT IMAGES OF LUNGS
Computed Tomography Lungs Solitary Pulmonary Nodules Segmentation Localization
2017/6/19
According to the World Health Organization (WHO) lung cancer remains the leading cause of death of men among all malignant tumors [1, 2]. One of the reasons of such a statistics is the fact that the l...
LESION DETECTION IN CT IMAGES USING DEEP LEARNING SEMANTIC SEGMENTATION TECHNIQUE
Deep Neural Networks Convolutional Neural Networks Semantic Segmentation Chest Radiography Tuberculosis
2017/6/19
In this paper, the problem of automatic detection of tuberculosis lesion on 3D lung CT images is considered as a benchmark for testing out algorithms based on a modern concept of Deep Learning. For tr...
MORPHOLOGICAL MOMENTS OF BINARY IMAGES
Morphological Moments Disc Cover Medial Representation Continuous Skeleton Radial Function Bicircle
2017/6/19
The concept of morphological moments of binary images is introduced. Morphological moments can be used as a shape descriptor combining an integral width description of an object with a description of ...
Optimizing Content-Preserving Projections for Wide-Angle Images
Wide-Angle Images Optimizing Content-Preserving
2016/5/24
Any projection of a 3D scene into a wide-angle image unavoidably
results in distortion. Current projection methods either bend straight
lines in the scene, or locally distort the shapes of scene obj...
ReVision: Automated Classification, Analysis and Redesign of Chart Images
Visualization chart understanding information extraction redesign computer vision
2016/5/24
Poorly designed charts are prevalent in reports, magazines,
books and on the Web. Most of these charts are only available
as bitmap images; without access to the underlying data it is
prohibitively...
Harvesting Motion Patterns in Still Images from the Internet
motion pattern discovery image with implied mo- tion visual perception
2016/1/22
Most vision research on motion analysis focuses on learning human actions from video clips. In this paper, we investigate the use of still images, rather than videos, for motion recog-nition. We prese...
Combination of distance data with high resolution images
Vision Fusion Camera Scanner DEM/DTM Orthorectification
2015/8/25
Typical devices for acquiring distance data are laser scanners. Combining these with higher resolution image data is state of the art.Recently, camera systems are available providing distance and imag...
Developed technique for automatic cloud texturing using multi images applied to a complex site
Laser Scanning Digital Photogrammetry Data Fusion Multi images Textured Cloud Traffic Crossing
2015/8/24
The reconstruction of the textured 3D models seems to be very important in almost all the industrial and the engineering fields.These models will aid in defining the problems and consequently finding ...
A two-layer sparse coding model learns simple and complex cell receptive fields and topography from natural images
Independent component analysis Natural images Neural networks Spatial vision
2015/8/10
The classical receptive fields of simple cells in the visual cortex have been shown to emerge from the statistical properties of natural images by forcing the cell responses to be maximally sparse, i....
Learning viewpoint invariant perceptual representations from cluttered images
Computational models of vision Neural Nets invariance object recognition
2015/7/31
In order to perform object recognition, it is necessary to form perceptual representations that are sufficiently specific to distinguish between objects, but that are also sufficiently flexible to gen...
Digital Orthophotos at a Scale Of 1:5000 from High Resolution Satellite Images
Remote Sensing Cartography Ortorectification
2015/7/7
This paper describes the first results of a study, carried out within the national research program “Cofin2001”, on the potential use of
high resolution satellite images for making digital orthophoto...
Experiences in Upgrading of Large Databases of Satellite Images
Automation Spatial Database QuickBird
2015/7/7
Many technical aspects are involved in the upgrading of satellite image databases: geometric registration, resampling, radiometric
adjustment, mosaicking. In this paper, after an overview of all prob...
Risk Assessment for Environmental Applications: Integrated Analysis of Spatial Data Using Multi-temporal Digital orthophotos and Remote-sensing Satellite Images.
multi-temporal analysis digital orthophoto image processing
2015/7/7
A recently instituted National Park, in Southern Italy, is offering a wide experience in landscape knowledge and planning from
multiple sources finalized to the environmental analysis. The study is c...
