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Over-Parameterized Optical Flow Using a Stereoscopic Constraint [chapter]

Guy Rosman, Shachar Shem-Tov, David Bitton, Tal Nir, Gilad Adiv, Ron Kimmel, Arie Feuer, Alfred M. Bruckstein
2012 Lecture Notes in Computer Science  
This new technique yields significant improvements over state of the art optical flow computation methods for static scenes.  ...  In this case, we show that introducing a motion model into the optical flow allows to adjust the smoothness term to scene priors.  ...  In addition, [12] proposed a joint estimation of the stereoscopic optical flow and the fundamental matrix.  ... 
doi:10.1007/978-3-642-24785-9_64 fatcat:tjlwes3hfngjrlk27bckaxonhe

Moving Object Segmentation Using Optical Flow and Depth Information [chapter]

Jens Klappstein, Tobi Vaudrey, Clemens Rabe, Andreas Wedel, Reinhard Klette
2009 Lecture Notes in Computer Science  
This paper discusses the detection of moving objects (being a crucial part of driver assistance systems) using monocular or stereoscopic computer vision.  ...  In both cases, object detection is based on motion analysis of individually tracked image points (optical flow), providing a motion metric which corresponds to the likelihood that the tracked point is  ...  A popular scheme is the angle criterion [8, 24] which uses the direction of optical flow vectors.  ... 
doi:10.1007/978-3-540-92957-4_53 fatcat:sxcqg4zomjf7rb4tm2fcyd3wta

Stereoscopic 3D View Synthesis From Unsynchronized Multi-View Video

Felix Klose, Christian Linz, Christian Lipski, Marcus Magnor, Kai Ruhl
2011 Zenodo  
The automatic estimation of these fields can be accomplished with optical flow algorithms. A survey on recent optical flow algorithm was composed by Baker et al. [13] .  ...  [14] designed a perceptually inspired optical flow algorithm for view interpolation. Lipski et al.  ... 
doi:10.5281/zenodo.42480 fatcat:lzhzkd6zxrcx3ik5vht43uzhdm

Contrast Invariant and Affine sub-pixel Optical Flow

Neus Sabater, Sebastien Leprince, Jean-Philippe Avouac
2012 2012 19th IEEE International Conference on Image Processing  
This paper presents the Contrast Invariant and Affine Optical Flow (CIAO), a dense area-based sub-pixel image matching algorithm.  ...  CIAO proves particularly useful to extract high quality, high accuracy, and high density disparity maps from pairs of stereoscopic images.  ...  In fact, optical flow methods can be separated into locally and globally parameterized methods.  ... 
doi:10.1109/icip.2012.6466793 dblp:conf/icip/SabaterLA12 fatcat:lyws4a7a4feozgek7qng66koku

Solar Stereoscopy and Tomography

Markus J. Aschwanden
2011 Living Reviews in Solar Physics  
We review stereoscopic and tomographic methods used in the solar corona, including ground-based and space-based measurements, using solar rotation or multiple spacecraft vantage points, in particular from  ...  Stereoscopic and tomographic observations in the solar corona include large-scale structures, streamers, active regions, coronal loops, loop oscillations, acoustic waves in loops, erupting filaments and  ...  ), using additional constraints of spherical or axial symmetry.  ... 
doi:10.12942/lrsp-2011-5 fatcat:mrrub6g33jeczgh7jl7r2gughe

Hybrid stereo camera

Harpreet S. Sawhney, Yanlin Guo, Keith Hanna, Rakesh Kumar, Sean Adkins, Samuel Zhou
2001 Proceedings of the 28th annual conference on Computer graphics and interactive techniques - SIGGRAPH '01  
This paper introduces a novel application of IBR technology for efficient rendering of high quality CG and live action stereoscopic sequences.  ...  Traditionally, IBR has been applied to render novel views using image and depth based representations of the plenoptic functions.  ...  Furthermore, we would like to thank Spans and Partner Inc. and IMAX Corp. for the use of the images.  ... 
doi:10.1145/383259.383312 dblp:conf/siggraph/SawhneyGHKAZ01 fatcat:fmmkr3ov35davgd4z7kil6enei

Specular surface reconstruction from sparse reflection correspondences

Aswin C. Sankaranarayanan, Ashok Veeraraghavan, Oncel Tuzel, Amit Agrawal
2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition  
Our approach overcomes the practical issues in shape from specular flow (SFSF) such as the requirement of dense optical flow and undefined/infinite flow at parabolic points.  ...  We present a practical approach for surface reconstruction of smooth mirror-like objects using sparse reflection correspondences (RCs).  ...  It is entirely possible to use alternate surface parameterizations at the cost of solving a harder inference problem.  ... 
doi:10.1109/cvpr.2010.5539826 dblp:conf/cvpr/SankaranarayananVTA10 fatcat:5dmlma43ofbszdv6x6xthhfbo4

Concurrent 3-D motion segmentation and 3-D interpretation of temporal sequences of monocular images

H. Sekkati, A. Mitiche
2006 IEEE Transactions on Image Processing  
Viewers presented with anaglyphs of stereoscopic images constructed from the algorithm's output reported a strong perception of depth.  ...  The problem is formulated following a variational statement with a functional containing three terms.  ...  The coordinate functions of image motion are also related to the image spatiotemporal variations by the Horn-Schunck gradient constraint [9] , also known in the literature as the optical flow constraint  ... 
doi:10.1109/tip.2005.863699 pmid:16519351 fatcat:nwg34evr7vgvdkekfsjjx6bkiy

Head-tracked stereoscopic display using image warping

Leonard McMillan, Gary Bishop, Scott S. Fisher, John O. Merritt, Mark T. Bolas
1995 Stereoscopic Displays and Virtual Reality Systems II  
We show that under a reasonable set of constraints, this method can be used to generate stereo images from a wide range of viewpoints. This technique has several advantages over previous methods.  ...  We describe a stereoscopic display system which requires the broadcast of only a stereo pair and sparse correspondence information, yet allows for the generation of the arbitrary views required for head-tracked  ...  In a broadcast environment, the same image and flow data could be used to support multiple simultaneous viewers.  ... 
doi:10.1117/12.205865 fatcat:dyzkfnccgnd27haoyufgvdpn4a

Quotienting Impertinent Camera Kinematics for 3D Video Stabilization [article]

Thomas W. Mitchel, Christian Wuelker, Jin Seob Kim, Sipu Ruan, Gregory S. Chirikjian
2019 arXiv   pre-print
Here we introduce a framework for 3D video stabilization that relies on dense scene flow alone.  ...  Most importantly, dense flows are more robust than the sparse feature matching techniques used by existing 3D stabilization methods, able to better handle large camera displacements and occlusions similar  ...  [11] developed the first such method in which feature tracking and dense optical flows were used to produce smoothed motion fields. Liu et al. [12] and Guo et al.  ... 
arXiv:1903.09073v2 fatcat:eobvjbtksjc3hlhwsstnut6sxq

Quotienting Impertinent Camera Kinematics for 3D Video Stabilization

Thomas W. Mitchel, Christian Wulker, Jin Seob Kim, Sipu Ruan, Gregory S. Chirikjian
2019 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)  
Here we introduce a framework for 3D video stabilization that relies on dense scene flow alone.  ...  Most importantly, dense flows are more robust than the sparse feature matching techniques used by existing 3D stabilization methods, able to better handle large camera displacements and occlusions similar  ...  In contrast, dense flows (such as 2D optical flow or 3D scene flow) provide more robust descriptions [27, 2, 32, 35] .  ... 
doi:10.1109/iccvw.2019.00417 dblp:conf/iccvw/MitchelWKRC19 fatcat:tihp6uc5vndtdlthprt34exa3a

A hierarchy of cameras for 3D photography

Jan Neumann, Cornelia Fermüller, Yiannis Aloimonos
2004 Computer Vision and Image Understanding  
To compute the 3D structure of a scene from a moving vision sensor or to use imagebased rendering approaches, we need to be able to estimate the motion of the sensor from the recorded image information  ...  with high accuracy, a problem that has been well-studied.  ...  imaging sensor can capture images at a rate that allows us to use the instantaneous approximation of the rotation matrix R ≈ I + [ω] × where [ω] × is a skew-symmetric matrix parameterized by the axis  ... 
doi:10.1016/j.cviu.2004.03.013 fatcat:mgbjiasvgbdldjztppznxie2ym

3D Reconstruction from a Vascular Tree Model [chapter]

Luis Álvarez, Karina Baños, Carmelo Cuenca, Julio Esclarín, Javier Sánchez
2003 Lecture Notes in Computer Science  
Also we have used Optical Flow techniques to follow the points through the images going and going back.  ...  Resumen In this paper, we present a vascular tree model made with synthetic materials and which allows us to obtain images to make a 3D reconstruction.  ...  Optical Flow Once we have calibrated the camera system we propose a method for the recovering of disparity maps between pair of stereoscopic images.  ... 
doi:10.1007/978-3-540-45210-2_56 fatcat:jvygoh4t2jca3c2t5glyayztuq

A no-reference optical flow-based quality evaluator for stereoscopic videos in curvelet domain

Jiachen Yang, Huanling Wang, Wen Lu, Baihua Li, Atta Badii, Qinggang Meng
2017 Information Sciences  
features based on the estimation of optical flow are used to describe the temporal distortion.  ...  In our study, a set of local binary patterns (LBP) statistical features extracted from a computed frame curvelet representation are used as spatial and spatio-temporal description, and the local flow statistical  ...  (d) A 32 × 32 optical flow patch of (a). (e) A 32 × 32 optical flow patch of (b). (f) A 32 × 32 optical flow patch of (c).  ... 
doi:10.1016/j.ins.2017.05.051 fatcat:snntqhddbzepjp7ztnvogim5y4

A Tensor Voting Approach for Multi-view 3D Scene Flow Estimation and Refinement [chapter]

Jaesik Park, Tae Hyun Oh, Jiyoung Jung, Yu-Wing Tai, In So Kweon
2012 Lecture Notes in Computer Science  
Our approach uses a standard multi-view stereo and optical flow algorithm to compute the initial 3D scene flow.  ...  We introduce a framework to estimate and refine 3D scene flow which connects 3D structures of a scene across different frames.  ...  [7] combine 2D motion from optical flow and stereo view constraint in scene flow estimation. Pons et al.  ... 
doi:10.1007/978-3-642-33765-9_21 fatcat:z2okrhlwznbvrkkeuh7uy7nmeu
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