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A variational framework for simultaneous motion and disparity estimation in a sequence of stereo images

Wided Miled, Beatrice Pesquet-Popescu, Wael Cherif
2009 2009 IEEE International Conference on Acoustics, Speech and Signal Processing  
, using the stereo-motion consistency constraint.  ...  In this paper, we present a variational framework for joint disparity and motion estimation in a sequence of stereo images.  ...  This function consists of three data terms: the first two for left and right motion fields and the latter one for the joint estimation constraint.  ... 
doi:10.1109/icassp.2009.4959690 dblp:conf/icassp/MiledPC09 fatcat:mny7fvdmvfdt3fnmmnhgp6coj4

Constrained, globally optimal, multi-frame motion estimation

S. Farsiu, M. Elad, P. Milanfar
2005 IEEE/SP 13th Workshop on Statistical Signal Processing, 2005  
We address the problem of estimating the relative motion between the frames of a video sequence.  ...  The framework is applicable to virtually any motion model and enables us to develop a robust approach, which is resilient against the effects of outliers and noise.  ...  These methods are mainly developed to estimate the relative motion between a pair of frames.  ... 
doi:10.1109/ssp.2005.1628814 fatcat:uc4c4hmdfjbovoeg4ulec4g724

Detecting Motion Regions in the Presence of a Strong Parallax from a Moving Camera by Multiview Geometric Constraints

Chang Yuan, Gerard Medioni, Jinman Kang, Isaac Cohen
2007 IEEE Transactions on Pattern Analysis and Machine Intelligence  
The structure consistency constraint, being the main contribution of this paper, is derived from the relative camera poses in three consecutive frames and is implemented within the "Plane þ Parallax" framework  ...  We present a method for detecting motion regions in video sequences observed by a moving camera in the presence of a strong parallax due to static 3D structures.  ...  The structure consistency constraint is estimated in a way similar to that of estimating the fundamental matrix [27] .  ... 
doi:10.1109/tpami.2007.1084 pmid:17627049 fatcat:57jcmkr7t5h6fiv4glu3porymi

Dense Depth Estimation of a Complex Dynamic Scene without Explicit 3D Motion Estimation [article]

Suryansh Kumar, Ram Srivatsav Ghorakavi, Yuchao Dai, Hongdong Li
2019 arXiv   pre-print
In this work, we propose an alternative approach that circumvents the 3D motion estimation requirement to obtain a dense depth map of a dynamic scene.  ...  Generally, to estimate precise measurements of relative 3D motion parameters and to validate its accuracy using image data is a challenging task.  ...  [29] proposed a two/three-staged approach to solve dense monocular depth estimation of a dynamic scene.  ... 
arXiv:1902.03791v2 fatcat:vezfz23izze43g6vnrmexkmmyy

Mocycle-GAN: Unpaired Video-to-Video Translation [article]

Yang Chen and Yingwei Pan and Ting Yao and Xinmei Tian and Tao Mei
2019 arXiv   pre-print
Technically, Mocycle-GAN capitalizes on three types of constrains: adversarial constraint discriminating between synthetic and real frame, cycle consistency encouraging an inverse translation on both frame  ...  In this paper, we present a new Motion-guided Cycle GAN, dubbed as Mocycle-GAN, that novelly integrates motion estimation into unpaired video translator.  ...  The motion translation constraint transfers the estimated motion from source to target domain via motion translator and then warps the synthetic frame with the transferred motion to the subsequent frame  ... 
arXiv:1908.09514v1 fatcat:sqyim4eodzgyxmfqu6lyfe5sge

A unified approach to moving object detection in 2D and 3D scenes

M. Irani, P. Anandan
1996 Proceedings of 13th International Conference on Pattern Recognition  
In this paper, we describe a unified approach to handling moving-object detection in both 2D and 3D scenes, with a strategy to gracefully bridge the gap between those two extremes.  ...  Previous approaches to this problem can be broadly divided into two classes: 2D algorithms which apply when the scene can be approximated by a flat surface and/or when the camera is only undergoing rotations  ...  (b) The rigidity constraint applied to this scenario detects 3D inconsistency over three frames, since Moving object detection relying on a single parallax vector.  ... 
doi:10.1109/icpr.1996.546117 dblp:conf/icpr/IraniA96 fatcat:cceppkibk5hlpoeptcs2mf3cmq

A unified approach to moving object detection in 2D and 3D scenes

M. Irani, P. Anandan
1998 IEEE Transactions on Pattern Analysis and Machine Intelligence  
In this paper, we describe a unified approach to handling moving-object detection in both 2D and 3D scenes, with a strategy to gracefully bridge the gap between those two extremes.  ...  Previous approaches to this problem can be broadly divided into two classes: 2D algorithms which apply when the scene can be approximated by a flat surface and/or when the camera is only undergoing rotations  ...  (b) The rigidity constraint applied to this scenario detects 3D inconsistency over three frames, since Moving object detection relying on a single parallax vector.  ... 
doi:10.1109/34.683770 fatcat:xkk2hurllverzmgomxnczahb3q

Video Completion via Spatio-temporally Consistent Motion Inpainting

Menandro Roxas, Takaaki Shiratori, Katsushi Ikeuchi
2014 IPSJ Transactions on Computer Vision and Applications  
We also add a trajectory constraint by solving the forward and backward flow simultaneously using three frames.  ...  Inside one iteration of the optical flow estimation, we use the solved motion field to propagate the color and then use the newly inpainted color back to the brightness constraint of the optical flow functional  ...  [21] solve the optical flow using three frames by imposing a hard constraint between the forward and the backward flow.  ... 
doi:10.2197/ipsjtcva.6.98 fatcat:mpikrrzgzrabvkeaz2pubnu5gu

Parallax geometry of pairs of points for 3D scene analysis [chapter]

Michal Irani, P. Anandan
1996 Lecture Notes in Computer Science  
We present a geometric relationship between the image motion of pairs of points over multiple frames.  ...  Similarly, a 3 D-rigidity constraint between pairs of points over multiple frames is derived. This leads to the derivation of an image point which is dual to the epipole.  ...  rigidity constraint on a pair of points across three frames.  ... 
doi:10.1007/bfb0015520 fatcat:wdiwexneongvvi4zrp454smmhy

A loop-consistency measure for dense correspondences in multi-view video

Anita Sellent, Kai Ruhl, Marcus Magnor
2012 Image and Vision Computing  
We use the multi-video data structure to establish a confidence measure based on the consistency of the correspondences in a loop of three images.  ...  In this article we show that this redundancy can be exploited to estimate more robust and consistent correspondence fields.  ...  The research leading to these results has received funding from the European Unions Seventh Framework Programme FP7/2007-2013 under grant agreement no. 256941, Reality CG.  ... 
doi:10.1016/j.imavis.2012.06.011 fatcat:firfrrlt7zedxgt7mu5ko2wkfu

ProFlow: Learning to Predict Optical Flow [article]

Daniel Maurer, Andrés Bruhn
2018 arXiv   pre-print
In this paper we propose an unsupervised online learning approach based on a convolutional neural network (CNN) that estimates such a motion model individually for each frame.  ...  This, in turns, allows to overcome the major limitation of recent rigidity-based approaches that seek to improve the estimation by incorporating additional stereo/SfM constraints.  ...  To this end, we made use of an unsupervised learning approach that learns a motion model by estimating a spatially variant mapping from the backward to the forward flow.  ... 
arXiv:1806.00800v1 fatcat:p6tk5bmm5vbpxl65w5rlwkcinu

Detection and tracking of moving objects from a moving platform in presence of strong parallax

Jinman Kang, I. Cohen, G. Medioni, Chang Yuan
2005 Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1  
This newly derived relationship is related to trilinear tensor, but can be enforced into more than three frames.  ...  Then, a robust parallax filtering scheme is proposed to accumulate the geometric constraint errors within a sliding window and estimate a likelihood map for pixel classification.  ...  A 2D affine motion model A t+1 t is robustly estimated by fitting the model to at least three pairs of matched points within a RANSAC-based scheme [2] .  ... 
doi:10.1109/iccv.2005.72 dblp:conf/iccv/KangCMY05 fatcat:b6qd5ljcsbehpgvkqw43qcta4q

A Survey: Various Techniques of Video Compression
English

Suganya Mahesh
2014 International Journal of Engineering Trends and Technoloy  
Motion Estimation, Motion Compensation, Discrete Cosine Transform, Run Length Encoding, Huffman Coding. Frame Difference, PCA Method.  ...  Video compression techniques to solve reducing and removing redundant video data so that a digital video file can be effectively sent and received over a network and stored on computer disks.  ...  MOTION ESTIMATION DEF: The motion estimation process is done by the coder to find the motion vector pointing to the best prophecy macro block in a reference frame or field.  ... 
doi:10.14445/22315381/ijett-v7p207 fatcat:wl7xeinxzbaw7hwrrmy4l6bi74

Constraint Translational And Rotational Motion Filtering For Video Stabilization

Marius Tico, Markku Vehvilainen
2005 Zenodo  
A video stabilization system comprises three components: global motion estimation, motion filtering, and motion compensation.  ...  trivial approach would consists of running unconstraint Kalman filtering procedure, following to disregard the resulted correction whenever it exceeds the system constraint.  ... 
doi:10.5281/zenodo.39259 fatcat:gestdbmyqfdypmfvjnc77jl2ta

Context-Aware Video Retargeting via Graph Model

Zhan Qu, Jinqiao Wang, Min Xu, Hanqing Lu
2013 IEEE transactions on multimedia  
In addition, the grid-cell-wise motion estimation could be calculated every few frames, which obviously improves the speed.  ...  estimating the motions of regions.  ...  ACKNOWLEDGMENT The authors would like to thank the anonymous reviewers for the constructive comments and valuable suggestion. The authors would also like to thank Y.-S. Wang, P. Krähenbühl, and M.  ... 
doi:10.1109/tmm.2013.2267727 fatcat:xopemzkobrawvlu6vm7dippdmm
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