Appearance-Based Object Detection in Space-Variant Images: A Multi-Model Approach

Lecture Notes in Computer Science - Germany
doi 10.1007/978-3-540-30125-7_67
Full Text
Abstract

Available in full text

Date
Authors
Publisher

Springer Berlin Heidelberg

Related search

Object-Oriented Change Detection Based on Multi-Scale Approach

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2016English

Geospatial Object Detection in High Resolution Satellite Images Based on Multi-Scale Convolutional Neural Network

Remote Sensing
EarthPlanetary Sciences
2018English

Object-Based Change Detection Using Georeferenced Uav Images

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
2012English

Automatic Prostate Segmentation Using Multi-Objective Active Appearance Model in MR Images

Turkish Journal of Electrical Engineering and Computer Sciences
Electronic EngineeringElectricalComputer Science
2019English

Appearance-Based Object Pose Estimation and Misestimation Detection by Shape Fitness

Seimitsu Kogaku Kaishi/Journal of the Japan Society for Precision Engineering
Mechanical Engineering
2013English

An Object Correlation and Maneuver Detection Approach for Space Surveillance

Research in Astronomy and Astrophysics
AstrophysicsAstronomyPlanetary ScienceSpace
2012English

Multi-Robot Multi-Object Rearrangement in Assignment Space

2012English

Grid Based Spherical CNN for Object Detection From Panoramic Images

Sensors
InstrumentationInformation SystemsElectronic EngineeringBiochemistryAnalytical ChemistryMolecular Physics,ElectricalAtomicMedicineOptics
2019English

Object Detection in Images Using Morphlet Descriptions

Computer Optics
Electronic EngineeringPattern RecognitionEngineeringMolecular Physics,Computer VisionComputer Science ApplicationsElectricalAtomicOptics
2017English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy