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Estimation of accuracy in determining the translational velocity of a video camera using data from optical flow

Andrii Molchanov, Vyacheslav Kortunov, Farhadi Rahman Mohammadi
2017 Eastern-European Journal of Enterprise Technologies  
in the underlying surface; -to compare the proposed method and demonstrate the advantages of using a texture analysis [10] to estimate the optical flow in comparison with a standard block method; -to  ...  Optical flow (OF) can be used to estimate the speed, orientation, and motion trajectories after the estimated values for OF and INS passed through stochastic filters.  ... 
doi:10.15587/1729-4061.2017.108449 fatcat:ojiktsntjfahhlylbyqj746leq

LBP-Flow and Hybrid Encoding for Real-Time Water and Fire Classification

Konstantinos Avgerinakis, Panagiotis Giannakeris, Alexia Briassouli, Anastasios Karakostas, Stefanos Vrochidis, Ioannis Kompatsiaris
2017 2017 IEEE International Conference on Computer Vision Workshops (ICCVW)  
LBP-flow builds upon existing Local Binary Pattern (LBP) descriptors by providing a low-cost representation of both appearance and optical flow textures, to increase its representation capabilities.  ...  The analysis of dynamic scenes in video is a very useful task especially for the detection and monitoring of natural hazards such as floods and fires.  ...  that describe moving texture dynamics by estimating local variations and statistics of intensity and optical flow values.  ... 
doi:10.1109/iccvw.2017.56 dblp:conf/iccvw/AvgerinakisGBKV17 fatcat:fx5x7nyhsve6hmvlerpl3f6qpa

Trainable videorealistic speech animation

Tony Ezzat, Gadi Geiger, Tomaso Poggio
2002 ACM Transactions on Graphics  
We describe how to create with machine learning techniques a generative, videorealistic, speech animation module.  ...  The two key contributions of this paper are 1) a variant of the multidimensional morphable model (MMM) to synthesize new, previously unseen mouth configurations from a small set of mouth image prototypes  ...  The authors would like to thank Meredith and Dynasty Models; Craig Milanesi, Dave Konstine, Jay Benoit from MIT Video Productions; Marypat Fitzgerald and Casey Johnson from CBCL; Volker Blanz, Thomas Vetter  ... 
doi:10.1145/566570.566594 fatcat:bhfsc7tyvjcixitg7j7ahltofe

Trainable videorealistic speech animation

Tony Ezzat, Gadi Geiger, Tomaso Poggio
2002 ACM Transactions on Graphics  
We describe how to create with machine learning techniques a generative, videorealistic, speech animation module.  ...  The two key contributions of this paper are 1) a variant of the multidimensional morphable model (MMM) to synthesize new, previously unseen mouth configurations from a small set of mouth image prototypes  ...  The authors would like to thank Meredith and Dynasty Models; Craig Milanesi, Dave Konstine, Jay Benoit from MIT Video Productions; Marypat Fitzgerald and Casey Johnson from CBCL; Volker Blanz, Thomas Vetter  ... 
doi:10.1145/566654.566594 fatcat:an4a6rkd5rhmngbeamaurwuqvy

Early spatiotemporal grouping with a distributed oriented energy representation

K.G. Derpanis, R.P. Wildes
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition  
A key advantage of this representation is its ability to signal the presence of multiple oriented structures at a given spacetime location.  ...  Spatiotemporal data is associated with vast amounts of raw samples.  ...  Acknowledgements This research was supported in part by NSERC and Precarn. F. Estrada provided software for computing precision/recall curves and helpful discussion.  ... 
doi:10.1109/cvprw.2009.5206817 fatcat:nntctzoaazbr7juwkqenqayzvq

Early spatiotemporal grouping with a distributed oriented energy representation

Konstantinos G. Derpanis, Richard P. Wildes
2009 2009 IEEE Conference on Computer Vision and Pattern Recognition  
A key advantage of this representation is its ability to signal the presence of multiple oriented structures at a given spacetime location.  ...  Spatiotemporal data is associated with vast amounts of raw samples.  ...  Acknowledgements This research was supported in part by NSERC and Precarn. F. Estrada provided software for computing precision/recall curves and helpful discussion.  ... 
doi:10.1109/cvpr.2009.5206817 dblp:conf/cvpr/DerpanisW09 fatcat:qpbj4harcbcmjjvbhdjvk5kdoy

Recent multiscale AM-FM methods in emerging applications in medical imaging

Victor Murray, Marios S. Pattichis, Eduardo Simon Barriga, Peter Soliz
2012 EURASIP Journal on Advances in Signal Processing  
This article summarizes the theory of AM-FM decompositions and related medical imaging applications.  ...  In the past few years, as the understanding of its theory advanced, AM-FM decompositions have been applied in a series of medical imaging problems ranging from ultrasound to retinal image analysis, yielding  ...  Optical flow motion estimation One of the earliest applications of AM-FM methods comes from the application of phase-based method in estimating optical-flow motion.  ... 
doi:10.1186/1687-6180-2012-23 fatcat:cfuzym7sxreulpdwhykrsmyi5i

THE RESEARCH ON DRYLAND CROP CLASSIFICATION BASED ON THE FUSION OF SENTINEL-1A SAR AND OPTICAL IMAGES

F. Liu, T. Chen, J. He, Q. Wen, F. Yu, X. Gu, Z. Wang
2018 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
GS and Brovey methods were proved to be more applicable in the study area.  ...  And for the GS, Brovey fusion images and GF-1 optical image, the nearest neighbour algorithm was adopted to realize the supervised classification with the same training samples.  ...  Moreover, in order to distinguish the targets from backgrounds, apparent characteristics such as the spectrum and texture were analysed and adopted to establish the multidimensional feature space.  ... 
doi:10.5194/isprs-archives-xlii-3-1041-2018 fatcat:d5nd6map5vbt5cvhvyzhwejimq

Soil Image Segmentation and Texture Analysis: A Computer Vision Approach

A. Sofou, G. Evangelopoulos, P. Maragos
2005 IEEE Geoscience and Remote Sensing Letters  
Second, we analyze surface texture information by modeling image variations as local modulation components and using multifrequency filtering and instantaneous nonlinear energy-tracking operators to estimate  ...  We also briefly demonstrate their applicability to remote sensing images.  ...  The second term can be shown to correspond to a flow that maximizes the average texture energy: . This term pushes the curve toward regions with large texture energy.  ... 
doi:10.1109/lgrs.2005.851752 fatcat:dzz2cvbtonfyho5d5rwjpnmmby

Filter Banks, Wavelets, and Frames with Applications in Computer Vision and Image Processing (A Review) [chapter]

Ivar Austvoll
2003 Lecture Notes in Computer Science  
A system for motion estimation (estimation of optical flow) is presented.  ...  The purpose of this article is to present some of the fundamental principles of filter banks, wavelets and frames and their connections, with special emphasis on applications in computer vision and image  ...  Estimation of Velocity and Optical flow The purpose of this section is to give an example of a system for estimation of optical flow based on three different filter banks combined.  ... 
doi:10.1007/3-540-45103-x_120 fatcat:smv4vsieqfgjndpf7q4oal5yxy

A Block-based Video Smoke Detection Algorithm

Wen-hui Li, Bo Fu, Lin-chang Xiao, Ying Wang, Pei-xun Liu
2013 Journal of Software  
Thirdly, two basically smoke eigen-values are calculated by using wavelet transformation tools and Lucas-Kanade optical flow method. The motion directions are estimated in every small region.  ...  These two eigen-values can effectively express image texture and move orientation feature, respectively. Lastly, these two eigen-values are given different weights.  ...  Lucas-Kanade optical flow method uses the Gaussian pyramid to calculate optical flow level by level. Along with the increase of the level, the resolution is lower and lower. III.  ... 
doi:10.4304/jsw.8.1.63-70 fatcat:iomxd7ivincxvarus2chuv4zfi

Proceedings of 3rd IEEE International Conference on Image Processing

1996 Proceedings of 3rd IEEE International Conference on Image Processing ICIP-96  
of motion boundary location and optical flow using dynamic programming Robust optic flow estimation using least median of squares Statistical approach to classification of flow patterns for motion detection  ...  Tubaro 18A5: Stereo coding and application-oriented coding Joint estimation and optimum encoding of depth field for 3-D object-based video coding A. Aydin Alatan, L.  ... 
doi:10.1109/icip.1996.559416 fatcat:jb4cdydgf5edtdljfuzj423ozu

Tracking Motion, Deformation, and Texture Using Conditionally Gaussian Processes

T.K. Marks, J.R. Hershey, J.R. Movellan
2010 IEEE Transactions on Pattern Analysis and Machine Intelligence  
The model, which we call G-flow, enables the joint inference of 3D position, orientation, and nonrigid deformations, as well as object texture and background texture.  ...  The model, which we call G-flow, enables the joint inference of 3D position, orientation, and nonrigid deformations, as well as object texture and background texture.  ...  Marks performed this research at the Departments of Cognitive Science and Computer Science and Engineering at the University of California, San Diego.  ... 
doi:10.1109/tpami.2008.278 pmid:20075463 fatcat:jo4notz2ifalpizevjyzzmujze

A morphable model for the synthesis of 3D faces

Volker Blanz, Thomas Vetter
1999 Proceedings of the 26th annual conference on Computer graphics and interactive techniques - SIGGRAPH '99  
Shape and texture constraints derived from the statistics of our example faces are used to guide manual modeling or automated matching algorithms.  ...  We show 3D face reconstructions from single images and their applications for photo-realistic image manipulations.  ...  In particular, we thank Marney Smyth and Alice O'Toole for their perseverance in helping us to obtain the following. Photo Credits: Original image in Fig. 6 : Courtesy of Paramount/VIACOM.  ... 
doi:10.1145/311535.311556 fatcat:pgwstruk2jgq3i7pyx66ad33o4

3D shape and 2D surface textures of human faces: the role of "averages" in attractiveness and age

A.J O'Toole, T Price, T Vetter, J.C Bartlett, V Blanz
1999 Image and Vision Computing  
individual face, were judged by human subjects to be both more attractive and younger than the original faces.  ...  Shape-normalized faces, created by morphing the texture maps from individual faces onto the average head shape, and texture-normalized faces, created by morphing the average texture onto the shape of each  ...  Acknowledgements A.O. gratefully acknowledges support from NIMH grant 1R29MH5176501A5, the Alexander von Humboldt Foundation, and Texas Instruments Inc.  ... 
doi:10.1016/s0262-8856(99)00012-8 fatcat:v4kqoz56uvhxfgkui7pkulety4
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