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Feature Trajectory Retrieval with Application to Accurate Structure and Motion Recovery [chapter]

Kai Cordes, Oliver Müller, Bodo Rosenhahn, Jörn Ostermann
2011 Lecture Notes in Computer Science  
Common techniques in structure from motion do not explicitly handle foreground occlusions and disocclusions, leading to several trajectories of a single 3D point.  ...  The feature localization is done using the SIFT detector extended by a Gaussian approximation of the gradient image signal.  ...  p j,k+l are used for structure and motion estimation.  ... 
doi:10.1007/978-3-642-24028-7_15 fatcat:dlgg4zov5fdgvazokvsnxdnuxq

Global alignment of sensor positions with noisy motion measurements

H. Madjidi, S. Negahdaripour
2005 IEEE Transactions on robotics  
A common application is to determine the trajectory of a mobile vision-based system from the scene images acquired along its track.  ...  Exploiting redundant measurements and the rigid body motion constraint as the observation model, we apply the mixed adjustment model paradigm to develop recursive estimation algorithms under various scenarios  ...  of the second image to the coordinate system of the first view based on the motion estimated directly from the optical flow for these two images, raw observations used as input to the GA (column 3), and  ... 
doi:10.1109/tro.2005.852257 fatcat:prh62gzzbzeilj2shiij67iuce

Global alignment of sensor positions with noisy motion measurements

H. Madjidi, S. Negahdaripour
2004 IEEE International Conference on Robotics and Automation, 2004. Proceedings. ICRA '04. 2004  
A common application is to determine the trajectory of a mobile vision-based system from the scene images acquired along its track.  ...  Exploiting redundant measurements and the rigid body motion constraint as the observation model, we apply the mixed adjustment model paradigm to develop recursive estimation algorithms under various scenarios  ...  of the second image to the coordinate system of the first view based on the motion estimated directly from the optical flow for these two images, raw observations used as input to the GA (column 3), and  ... 
doi:10.1109/robot.2004.1302530 dblp:conf/icra/MadjidiN04 fatcat:dmjlihtqu5ahrpowneh26tzm7y

Time-sequential extraction of motion layers

Matthieu Fradet, Patrick Perez, Philippe Robert
2008 2008 15th IEEE International Conference on Image Processing  
At a subsequent instant, the first step of the proposed algorithm is the prediction of the segmentation from one image to the next one, using motion models estimated for each layer.  ...  A new time-sequential approach for motion layer extraction is presented. We assume that the scene can be described by a set of layers associated to affine motion models.  ...  Only examples from different classes are mentioned below. In [1] a dense motion field previously estimated is segmented.  ... 
doi:10.1109/icip.2008.4712482 dblp:conf/icip/FradetPR08 fatcat:vmqcteyi4jbltnydmnmdayrg3q

A three-dimensional quality-guided phase unwrapping method for MR elastography

Huifang Wang, John B Weaver, Irina I Perreard, Marvin M Doyley, Keith D Paulsen
2011 Physics in Medicine and Biology  
The quality of one-dimensional harmonic motion unwrapping was used to guide the threedimensional unwrapping procedures and it resulted in stronger guidance than in the sequential method.  ...  Magnetic Resonance Elastography (MRE) uses accumulated phases that are acquired at multiple, uniformly spaced relative phase offsets, to estimate harmonic motion information.  ...  The motion amplitude map (left) and the estimation error map (right) estimated from the unwrapped phase images of the breast using the absolute RMS fitting error integrated with the magnitude of the raw  ... 
doi:10.1088/0031-9155/56/13/012 pmid:21666289 pmcid:PMC3156002 fatcat:47t75vp7wjfwfnb4uowahdqocq

Recovering 3D-Shape from Motion Stereo under Non-Uniform Illumination - A Vision System for Mobile Robot Carring an Illumination Source -

Takafumi Hara, Tomoyuki Kudou, Eturo Yokoyama, Hidetoshi Miike, Atsushi Nomura
1996 IAPR International Workshop on Machine Vision Applications  
We try to recover 3Dshape from an image sequence under non-uniform illumination by introducing additional constraint equations of anisotropic constancies in optic flow and creation rate of brightness.  ...  A reliable and precise estimation of optic flow is important for recovering 3D-shape in motion In actual scene analysis, however, the influence of non-ideal condition^^)'^) should be taken into account  ...  Introduction Several approaches5)96) recovering 3D-shape from an image sequence have been proposed. One of these approaches is motion stereo.  ... 
dblp:conf/mva/HaraKYMN96 fatcat:dovvdyouj5g67ok6m5haafomlu

Robust Myocardial Motion Tracking for Echocardiography: Variational Framework Integrating Local-to-Global Deformation

Chi Young Ahn
2013 Computational and Mathematical Methods in Medicine  
Among a variety of tracking techniques, optical flow method is the most widely used for motion estimation of moving objects.  ...  The proposed descent method controls the individual tracking points to follow the local motions of a specific speckle pattern, while their overall motions are confined to the global motion constraint being  ...  This work was supported by the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (no. 2012-8-1798 and no. 2011-8-1782).  ... 
doi:10.1155/2013/974027 pmid:23554841 pmcid:PMC3608188 fatcat:frbwmyyjnfaujlui2efneos33m

Optimal motion and structure estimation

J. Weng, N. Ahuja, T.S. Huang
1993 IEEE Transactions on Pattern Analysis and Machine Intelligence  
In addition, we also use the CramCr-Rao bound to indicate the inherent instability of motion estimation from small image disparities, such as motion from optical flow.  ...  We investigate the performance difference between a batch least-squares technique (Levenberg-Marquardt) and a sequential least-squares technique (iterated extended Kalman filter) for this motion estimation  ...  In addition, we also use the CramCr-Rao bound to indicate the inherent instability of motion estimation from small image disparities, such as motion from optical flow.  ... 
doi:10.1109/34.232074 fatcat:is4ajrxminfy3fp5vblep7ssie

Deformable Models for Segmentation, 3D Shape and MotionEstimation and Recognition

D. Metaxas
1999 Procedings of the British Machine Vision Conference 1999  
We first present physics-based modeling techniques for segmentation and 3D shape and motion estimation based on single and multiple views as well as the integration of visual cues such as edges and optical  ...  We demonstrate the usefulness of this framework in computer vision and medical image analysis applications. BMVC99  ...  Coupling Deformable Models and Illumination Constraints In an effort to estimate shape from shading information we have developed a theory for the numerically robust integration of nonlinear holonomic  ... 
doi:10.5244/c.13.1 dblp:conf/bmvc/Metaxas99 fatcat:54l6zdbezbemnbxdyey2ssxw2e

Automated processing of mobile mapping image sequences

C.Vincent Tao, Michael A Chapman, Bruce A Chaplin
2001 ISPRS journal of photogrammetry and remote sensing (Print)  
Following a brief overview of mobile mapping technology, an analysis of mobile mapping image sequences from the viewpoint of visual motion theory is provided.  ...  Particular attention is paid to image and object domain constraints that can be exploited in the processing of mobile mapping image sequences.  ...  The financial support from the Canadian Natural Science and Engineering Research Council Ž . NSERC and private industry sectors are acknowledged.  ... 
doi:10.1016/s0924-2716(01)00026-0 fatcat:26vqc2barbdjvpq7gr53wyyrx4

An algorithm to estimate mean traffic speed using uncalibrated cameras

D.J. Dailey, F.W. Cathey, S. Pumrin
2000 IEEE transactions on intelligent transportation systems (Print)  
In this paper, we present a novel approach to estimate traffic speed using a sequence of images from an uncalibrated camera. We assert that exact calibration is not necessary to estimate speed.  ...  moving edges and track vehicles between frames, and 4) parameters from the distribution of vehicle lengths, to estimate speed.  ...  The slope of this line is the tangent of the angle of motion for the th centroid in the series of images. 4) For each of the collinear bounding boxes in sequential images, estimate the pixel length along  ... 
doi:10.1109/6979.880967 fatcat:wu5252n4g5bxvecgggwjm3v6oa

Learning Object Appearance from Occlusions Using Structure and Motion Recovery [chapter]

Kai Cordes, Björn Scheuermann, Bodo Rosenhahn, Jörn Ostermann
2013 Lecture Notes in Computer Science  
It incorporates 3D scene information from the structure and motion recovery.  ...  The knowledge of occluded parts of a connected feature track is used to feed the object segmentation which crops the foreground image regions automatically.  ...  Temporal constraints of foreground and background are incorporated using information from structure and motion recovery.  ... 
doi:10.1007/978-3-642-37431-9_47 fatcat:hm2uesotijfrrijefnoi7d7dci

Combining Local-Physical and Global-Statistical Models for Sequential Deformable Shape from Motion

Antonio Agudo, Francesc Moreno-Noguer
2016 International Journal of Computer Vision  
In this paper, we simultaneously estimate camera pose and non-rigid 3D shape from a monocular video, using a sequential solution that combines local and global representations.  ...  We model the object as an ensemble of particles, each ruled by the linear equation of the Newton's second law of motion.  ...  This work has been partially supported by the Spanish Ministry of Science and Innovation under project RobInstruct TIN2014-58178-R; by a scholarship FPU12/04886 from the Spanish MECD; and by the ERA-net  ... 
doi:10.1007/s11263-016-0972-8 fatcat:npa4ayg6ynfxfpppe73kmqursa

SeqHAND:RGB-Sequence-Based 3D Hand Pose and Shape Estimation [article]

John Yang, Hyung Jin Chang, Seungeui Lee, Nojun Kwak
2020 arXiv   pre-print
With the generated dataset, we train a newly proposed recurrent framework, exploiting visuo-temporal features from sequential images of synthetic hands in motion and emphasizing temporal smoothness of  ...  estimations with a temporal consistency constraint.  ...  Acknowledgement This work was supported by IITP grant funded by the Korea government (MSIT) (No.2019-0-01367, Babymind) and Next-Generation Information Computing Development Program through the NRF of  ... 
arXiv:2007.05168v1 fatcat:ksmivqhqbnenxgfdtbcybowkiq

Semi-automatic Motion Segmentation with Motion Layer Mosaics [chapter]

Matthieu Fradet, Patrick Pérez, Philippe Robert
2008 Lecture Notes in Computer Science  
Apart from computational advantage, another interest lies in the fact that motions estimated between distant images are more likely to be different from one region to another than when estimated between  ...  We segment the sequence using a reduced number of distant image-to-mosaic comparisons instead of a larger number of close image-to-image comparisons.  ...  In such a sequential method, in poorly textured regions or when the different motions are small, motions estimated between consecutive images are unlikely to be very different from one region to another  ... 
doi:10.1007/978-3-540-88690-7_16 fatcat:p5an4rnnxvdf5i3jzbvoptxski
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