Filters








876,572 Hits in 10.2 sec

Bayesian dense motion field estimation with landmark constraint

Yi Chin, Chun-Jen Tsai
2010 2010 IEEE International Conference on Image Processing  
In this paper, a dense motion field estimation technique based on the Bayesian framework is proposed to estimate the true dense motion fields of video sequences.  ...  Previous stochastic techniques of dense motion field estimation adopts piecewise smooth motion model and use MAP estimation to find the motion field with joint minimization of motion compensation errors  ...  MAP w/o landmarks d) Proposed algorithm Fig. 3. Motion fields in area B of RACE HORSES. Fig. Fig. 5 and Fig. 6 are the results from the TEMPETE sequence.  ... 
doi:10.1109/icip.2010.5652489 dblp:conf/icip/ChinT10 fatcat:ekcuz44sbbgmzn4hjre54lte6y

Motion estimation on interlaced video

Calina Ciuhu, Gerard de Haan, Amir Said, John G. Apostolopoulos
2005 Image and Video Communications and Processing 2005  
Motion compensated de-interlacing and motion estimation based on Yen's generalisation 1 of the sampling theorem (GST) have been proposed by Delogne 2 and Vandendorpe. 3 Motion estimation methods using  ...  We will show that this criterion degenerates into a two-fields criterion, leading to erroneous motion vectors, when the vertical displacement per field period is an even number of pixels.  ...  pixels from the next, (n + 1)-field, resulting in a two field motion estimator.  ... 
doi:10.1117/12.584602 dblp:conf/eiivcp/CiuhuH05 fatcat:k5o64c3sunhrvicdggekqcfrhy

Estimation of depth fields suitable for video compression based on 3-D structure and motion of objects

A.A. Alatan, L. Onural
1998 IEEE Transactions on Image Processing  
The depth field is estimated by jointly minimizing a defined distortion and bitrate criterion using the 3-D motion parameters. The resulting depth field is efficient in the rate-distortion sense.  ...  In threedimensional (3-D) object-based video coding, both 3-D motion and depth values are required for temporal prediction.  ...  (a) Needlegram of the 2-D motion estimates. (b) Segmentation field areas. Fig. 4 . 4 Results of 3-D motion and depth estimation for salesman sequence.  ... 
doi:10.1109/83.679440 pmid:18276304 fatcat:cys2ogra2bay5k4w5k6zxzygza

Online 4-D CT Estimation for Patient-Specific Respiratory Motion Based on Real-Time Breathing Signals [chapter]

Tiancheng He, Zhong Xue, Weixin Xie, Stephen T. C. Wong
2010 Lecture Notes in Computer Science  
These motion patterns can be used to estimate the patient-specific serial CTs from a static 3-D CT and the real-time respiratory signals of that patient, who do not generally take 4-D CTs.  ...  Specifically, the respiratory lung field motion vectors are projected onto the Kernel Principal Component Analysis (K-PCA) space, and a motion estimation model is constructed to estimate the lung field  ...  Wei Lu from Washington University in ST. Louis for providing the 4-D datasets.  ... 
doi:10.1007/978-3-642-15711-0_49 fatcat:bmcwpkaw5neqndbjclkajwo3rm

Motion Adaptive Compensation Approach for Deinterlacing of Video Sequences

S. sreekanth, Y. Chakrapani, K. Udya Sri
2011 International Journal of Computer Applications  
The 3-field motion detection can not detect the fast motion areas from field to field.  ...  It consists of blockbased directional edge interpolation, same-parity 4-field motion detection, 4-field motion estimation and compensation.  ...  [12] . d l (1) , d l (3) , d l (5) , d l (7) , d l (9) ,d r (3), d r (5), d r (7) , d r (9) d lu (3) , d lu (5) , d lu (7) , d lu (9), d ru (3) , d ru (5) , d ru (7) , d ru (9) .  ... 
doi:10.5120/1929-2575 fatcat:3ojinmjnvjbfhm4hvmf72tmvvq

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  
The problem involves the estimation of four dense fields: two motion fields and two disparity fields.  ...  In order to reduce computational complexity and improve estimation accuracy, the two motion fields, for the left and right sequences, and the disparity field of the current stereo pair are jointly estimated  ...  The final estimated disparity field is shown in Figure 3 (e).  ... 
doi:10.1109/icassp.2009.4959690 dblp:conf/icassp/MiledPC09 fatcat:mny7fvdmvfdt3fnmmnhgp6coj4

Combinedwavelet Domain and Motion Compensated Filtering Compliant with Video Codecs

Ljubomir Jovanov, Aleksandra Pizurica, Vladimir Zlokolica, Stefan Schulte, Etienne Kerre, Wilfried Philips
2007 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07  
In this paper, we introduce the idea of using motion estimation resources from a video codec for video denoising.  ...  This is not straightforward because the motion estimators aimed for video compression and coding, tolerate errors in the estimated motion field and hence are not directly applicable to video denoising.  ...  An input into this scheme is the motion field produced by a motion estimator from a video codec.  ... 
doi:10.1109/icassp.2007.366020 dblp:conf/icassp/JovanovPZSKP07 fatcat:qdk3u6iwv5e5zg34j26qy4igp4

Fast Motion Estimation on Range Image Sequences acquired with a 3-D Camera

S. Matzka, Y. R. Petillot, A. M. Wallace
2007 Procedings of the British Machine Vision Conference 2007  
This paper presents a computationally efficient approach to estimate translational 3-D motion from range images sequences, that is adapted from a 2-D motion estimation algorithm.  ...  Apart from the cited work on 3-D motion estimation -which is only a selection -2-D optical flow is a major topic of interest.  ...  This paper presents a novel method to estimate translational 3-D motion from range images, that is adapted from a high-performance 2-D motion estimation algorithm.  ... 
doi:10.5244/c.21.82 dblp:conf/bmvc/MatzkaPW07 fatcat:ameawfv6hnhznkskcwrsvxrkqa

A New Block Based Motion Estimation with True Region Motion Field

Jozef Huska, Peter Kulla
2007 EUROCON 2007 - The International Conference on "Computer as a Tool"  
The algorithm, named as block based motion estimation with true region motion field, is actually based on the successive motion estimation from the highest confidence motion vectors to lowest one.  ...  In this paper a new block based motion estimation algorithm is presented.  ...  In [3] an initial motion vector is derived from the motion field resulting from spline based registration. Block matching is then carried out to refine that initial estimates.  ... 
doi:10.1109/eurcon.2007.4400407 fatcat:e3ixpcaisbhdhlqcotl23basq4

Gibbs random field model based 3D motion estimation from video sequences

A. A. Alatan, Levent Onural, Aggelos K. Katsaggelos
1994 Visual Communications and Image Processing '94  
In contrast to previous global 3-D motion concept, a Gibbs random field based method, which models local interactions between motion parameters defined at each point on the object, is proposed.  ...  The propagation of motion information between levels, is encouraged.  ...  INTRODUCTION 3-D motion estimation from a video sequence remains as a challenging problem.  ... 
doi:10.1117/12.186006 fatcat:ag7b7uyx7vbqtdgmi356morilq

Joint Blind Motion Deblurring and Depth Estimation of Light Field [article]

Dongwoo Lee, Haesol Park, In Kyu Park, Kyoung Mu Lee
2018 arXiv   pre-print
Removing camera motion blur from a single light field is a challenging task since it is highly ill-posed inverse problem.  ...  In this paper, we propose a novel algorithm to estimate all blur model variables jointly, including latent sub-aperture image, camera motion, and scene depth from the blurred 4D light field.  ...  Table 3 : 3 Comparison of motion estimation (in EPE).  ... 
arXiv:1711.10918v2 fatcat:t2x554eoancuplpqf433txb5rq

Joint Blind Motion Deblurring and Depth Estimation of Light Field [chapter]

Dongwoo Lee, Haesol Park, In Kyu Park, Kyoung Mu Lee
2018 Lecture Notes in Computer Science  
Removing camera motion blur from a single light field is a challenging task since it is highly ill-posed inverse problem.  ...  In this paper, we propose a novel algorithm to estimate all blur model variables jointly, including latent sub-aperture image, camera motion, and scene depth from the blurred 4D light field.  ...  Table 3 : 3 Comparison of motion estimation (in EPE).  ... 
doi:10.1007/978-3-030-01270-0_18 fatcat:gc6kwe3fgra3tmpbqx3zxzxkoa

Three-Dimensional Motion Estimation via Matrix Completion

Kun Li, Qionghai Dai, Wenli Xu, Jingyu Yang, Jianmin Jiang
2012 IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics)  
Taking a reconstructed 3-D mesh as the underlying scene representation, this method automatically estimates motions of 3-D objects.  ...  In this paper, we propose a new 3-D motion estimation method based on matrix completion.  ...  ., the 3-D motion field, can be obtained via matrix completion. 3) Noise. The initial estimated motion information from different views is disturbed by noises.  ... 
doi:10.1109/tsmcb.2011.2168953 pmid:22010156 fatcat:uypvpawihzecrie5ey42fzdf7u

A Novel De-interlacing Technique Using Bi-directional Motion Estimation [chapter]

Yoon Kim, Kang-Sun Choi, Jae-Young Pyun, Byung-Tae Choi, Sung-Jea Ko
2003 Lecture Notes in Computer Science  
The bi-directional motion estimation is composed of initial motion vector estimation, motion vector smoothing using motion vector field segmentation, and motion vector refinement in the interpolated field  ...  In the proposed scheme, bi-directional motion estimation (ME) is performed between the same parity fields, i.e., the previous and next fields.  ...  Spatio-Temporal Smoothness on the Initial Motion VectorUsing Motion Field Segmentation (b), where D(B) is isolated from neighboring motion vectors, D s (B) is obtained by D s (B) = arg min D DF D(D,  ... 
doi:10.1007/3-540-44839-x_101 fatcat:pctfrzw4tjbl7jqtdhxowvsugq

Recovering 3-D Velocity Vector Field Using Optical Flow Observed from Three Views
3視点からのオプティカルフローによる3次元速度ベクトル場の復元

Hideo TSUKUNE
1989 Transactions of the Society of Instrument and Control Engineers  
Then by combining the parameters describing apparent rotational optical flow observed from each view, the 3-D velocity vector field can be reconstructed.  ...  The merit of the method is that it can recover the 3-D velocity vector field and the depth map of the moving object from noisy optical flow avoiding correspondence problem peculiar to stereoscopic techniques  ...  Then by combining the parameters describing apparent rotational optical flow observed from each view, the 3-D velocity vector field can be reconstructed.  ... 
doi:10.9746/sicetr1965.25.1210 fatcat:eq3r5aeeczbtdlf24g2w7vinue
« Previous Showing results 1 — 15 out of 876,572 results