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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...
SIMULATION OF THE «COSMONAUT-ROBOT» SYSTEM INTERACTION ON THE LUNAR SURFACE BASED ON METHODS OF MACHINE VISION AND COMPUTER GRAPHICS
Lunar Exploration Extravehicular Activity (EVA) Human-Robot Interaction (HRI) Mobile Robot Control "Follow Me" Mode Gesture Interface Object Tracking Gesture Recognition Motion Capture
2017/6/19
Extravehicular activity (EVA) on the lunar surface, necessary for the future exploration of the Moon, involves extensive use of robots. One of the factors of safe EVA is a proper interaction between c...
Efficient Image-Based Methods for Rendering Soft Shadows
Shadows Raytracing Image-Based Rendering
2016/5/24
We present two efficient image-based approaches for computation
and display of high-quality soft shadows from area light sources.
Our methods are related to shadow maps and provide the associated
b...
Evaluation of Different Methods for Using Colour Information in Global Stereo Matching Approaches
Stereoscopic Matching Stereoscopic Reconstruction Colour Analysis Experimental Analysis
2015/12/4
Global algorithms currently represent the state-of-the-art in dense stereo matching. These methods first set up an energy function.The energy function is then subject to optimization, which is t...
AUTOMATIC DETECTION OF PATTERNS IN ROAD NETWORKS -METHODS AND EVALUATION
pattern recognition networks vector data geometric information
2015/9/28
Spatial data play a major role in many areas. They are an important source of information for a wide range of applications. The
quality and quantity of data have increased in the last decades, resul...
Advances in convex optimization: Interior-point methods, cone programming, and applications
Convex optimization linear programming nonlinear convex programming program robust
2015/8/11
In this talk I will give an overview of some major developments in convex optimization that have emerged over the last ten years or so. The basic idea is that convex problems are fundamentally tractab...
Cryptographic Methods for Storing Ballots on a Voting Machine
Voting Machine Storing Ballots
2015/8/5
A direct recording electronic (DRE) voting machine must satisfy several requirements to ensure voter privacy and the integrity of the election. A recent proposal for a vote storage system due to Molna...
A Generalized Method for Integrating Rule-based Knowledge into Inductive Methods Through Virtual Sample Creation
Rule based learning hybrid learning virtual sample virtual example
2015/7/22
Hybrid learning methods use theoretical knowledge of a domain and a set of classified examples to develop a method for classification. Methods that use domain knowledge have been shown to perform bett...
Comparative Analysis of Computational Methods for Limit-Cycle Oscillations
Comparative Analysis Computational Methods Limit-Cycle Oscillations
2015/7/2
Various methods are explored in the computation of time-periodic solutions for autonomous systems. The purpose of the work is to illuminate the capabilities and limitations of methods, including a new...
On the Design of Methods to Estimate Network Characteristics
Complex Networks Fisher information Frontier Sampling
2014/12/18
Social and computer networks permeate our lives. Large networks, such as the Internet, the World Wide Web (WWW), AND wireless smartphones, have indisputable economic and social importance. These netwo...
Using Formal Methods to Verify Transactional Abstract Concurrency Control
Transactional Memory Formal Verification SAT
2014/12/18
Concurrent application design and implementation is more important than ever in today's multi-core processor world. Transactional Memory (TM) Concurrent application design and implementation is more i...
A Non-Linear Eigensolver-Based Alternative to Traditional Self-Consistent Electronic Structure Calculation Methods
density functional theory electronic structure eigenvalue self consistent field FEAST
2014/12/8
This thesis presents a means of enhancing the iterative calculation techniques used in electronic structure calculations, particularly Kohn-Sham DFT. Based on the subspace iteration method of the FEAS...
Unsupervised Methods for Speaker Diarization: An Integrated and Iterative Approach
Bayesian nonparametric inference factor analysis HDP-HMM i-vectors principal component analysis speaker clustering speaker diarization spectral clustering variational Bayes
2014/11/27
Unsupervised Methods for Speaker Diarization: An Integrated and Iterative Approach.
On the Use of Spectral and Iterative Methods for Speaker Diarization
speaker diarization factor analysis Total Variability spectral clustering
2014/11/27
This paper extends upon our previous work using i-vectors for speaker diarization. We examine the effectiveness of spectral clustering as an alternative to our previous approach using Kmeans clusterin...
Evaluation of feature-based methods for automated network orientation
Orientation Automation Feature extraction Calibration
2014/7/30
Every day new tools and algorithms for automated image processing and 3D reconstruction purposes become available, giving the possibility to process large networks of unoriented and markerless images,...