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A Probabilistic Model for Recovering Camera Translation

Ranxiao Frances Wang, James E. Cutting
1999 Computer Vision and Image Understanding  
This paper describes the mathematical basis and application of a probabilistic model for recovering the direction of camera translation (heading) from optical flow.  ...  The model requires very simple computation, provides confidence level of the judgments, applies to both linear and curved trajectories, functions in the presence of camera rotations, and exhibited high  ...  Vishton for comments on an earlier draft of this article, and to Hany Farid for suggestions on the image processing algorithms.  ... 
doi:10.1006/cviu.1999.0798 fatcat:xb7dfy54l5e6zhv7ifsm4zs7gm

A novel 3-D motion estimation approach to virtual viewpoint control

Ying Kin Yu, Siu Hang Or, Kin Hong Wong, Kai Ki Lee
2008 Pattern Recognition (ICPR), Proceedings of the International Conference on  
The performance is demonstrated by applying the pose information to control cameras in a virtual environment.  ...  The novelty of this paper is the introduction of the Interacting Multiple Model Probabilistic Data Association Filter (IMMPDAF) to the pose tracking problem.  ...  A robust recursive MFM algorithm that recovers camera motion from a stereo image sequence based on the Interacting Multiple Model Probabilistic Data Association Filter (IMMPDAF) technique [11] [12]  ... 
doi:10.1109/icpr.2008.4761477 dblp:conf/icpr/YuOWL08 fatcat:gts2lncfg5hklkx3zw2awmo25a

Probabilistic Plant Modeling via Multi-view Image-to-Image Translation

Takahiro Isokane, Fumio Okura, Ayaka Ide, Yasuyuki Matsushita, Yasushi Yagi
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
By inferring the probability of branch existence using a Bayesian extension of image-toimage translation applied to each of multi-view images, our method generates a probabilistic plant 3D model, which  ...  Unlike previous geometric approaches that heavily rely on the visibility of the branches or use parametric branching models, our method makes statistical inferences of branch structures in a probabilistic  ...  Once the probabilistic branch existence map is computed for each view, they are merged in a 3D voxel space using the estimated camera poses based on a structure-from-motion method [33] to yield a probabilistic  ... 
doi:10.1109/cvpr.2018.00307 dblp:conf/cvpr/IsokaneOIMY18 fatcat:xoqvhgpi5fb77of6nfg267m3ue

Controlling Virtual Cameras Based on a Robust Model-Free Pose Acquisition Technique

Ying Kin Yu, Kin Hong Wong, Siu Hang Or, Chen Junzhou
2009 IEEE transactions on multimedia  
The recovered 3-D motions are accurate in comparison with the ground truth data and have been applied to control cameras in a virtual environment.  ...  This paper presents a novel method that acquires camera position and orientation from a stereo image sequence without prior knowledge of the scene.  ...  A robust recursive MFM algorithm that recovers camera motion from a stereo image sequence for virtual reality based on the Interacting Multiple Model Probabilistic Data Association Filter (IMMPDAF) technique  ... 
doi:10.1109/tmm.2008.2008871 fatcat:6h4szlms3nd37on2tyqny56lyi

Probabilistic Plant Modeling via Multi-View Image-to-Image Translation [article]

Takahiro Isokane, Fumio Okura, Ayaka Ide, Yasuyuki Matsushita, Yasushi Yagi
2018 arXiv   pre-print
By inferring the probability of branch existence using a Bayesian extension of image-to-image translation applied to each of multi-view images, our method generates a probabilistic plant 3D model, which  ...  Unlike previous geometric approaches that heavily rely on the visibility of the branches or use parametric branching models, our method makes statistical inferences of branch structures in a probabilistic  ...  Once the probabilistic branch existence map is computed for each view, they are merged in a 3D voxel space using the estimated camera poses based on a structure-from-motion method [33] to yield a probabilistic  ... 
arXiv:1804.09404v1 fatcat:c7abl347xjebtb6sbybcrzpm6a

Probabilistic Inference for Camera Calibration in Light Microscopy under Circular Motion [article]

Yuanhao Guo, Fons J. Verbeek, Ge Yang
2019 arXiv   pre-print
To address those issues, we propose a probabilistic inference based method for the camera calibration that does not require sophisticated image pre-processing.  ...  Robust and accurate camera calibration is essential for 3D reconstruction in light microscopy under circular motion.  ...  To address the above issues, we propose a probabilistic inference based method for the camera calibration.  ... 
arXiv:1910.13740v1 fatcat:j2eqclbxfnedbgliycnqse4nxm

3D structure from 2D motion

T. Jebara, A. Azarbayejani, A. Pentland
1999 IEEE Signal Processing Magazine  
We emphasized our nonlinear recursive probabilistic approach for its stability and ease of use in these environments.  ...  Fundamentally, this technique proved accurate, practical and resilient to a wide variety o f s u c h tests. XII.  ...  The technique is a two-frame one with a perspective projection camera model. Structure and motion (but not camera internal geometry) are recovered by minimizing a nonlinear cost function.  ... 
doi:10.1109/79.768574 fatcat:4tzdbty7bvg4vnsbn247nagkwe

Complete multi-view reconstruction of dynamic scenes from probabilistic fusion of narrow and wide baseline stereo

Tony Tung, Shohei Nobuhara, Takashi Matsuyama
2009 2009 IEEE 12th International Conference on Computer Vision  
In particular we present an original probabilistic framework to derive and predict the true surface of models.  ...  Hence we propose to take advantage of the image content stability provided by each single-view video to recover any surface regions visible by at least one camera.  ...  Acknowledgments This work was supported in part by the Japan Society for the Promotion of Science (JSPS No.20.08366), MEXT of Japan under the GCOE program "Informatics Education and Research Center for  ... 
doi:10.1109/iccv.2009.5459384 dblp:conf/iccv/TungNM09 fatcat:s5543fddybbopm72pvqo6ruqrm

Probabilistic stereo egomotion transform

Hugo Silva, Eduardo Silva, Alexandre Bernardino
2014 2014 IEEE International Conference on Robotics and Automation (ICRA)  
In this paper we propose a novel fully probabilistic solution to the stereo egomotion estimation problem.  ...  We extend the notion of probabilistic correspondence to the stereo case which allow us to compute the whole 6D motion information in a probabilistic way.  ...  (Portuguese Foundation for Science and Technology) within project FCOMP -01-0124-FEDER-022701, and under grant SFRH / BD / 47468 / 2008  ... 
doi:10.1109/icra.2014.6907662 dblp:conf/icra/SilvaSB14 fatcat:rokcuysuozernki6f5d67rzge4

Visual Grammars and Their Neural Nets

Eric Mjolsness
1991 Neural Information Processing Systems  
It involves formulating a vision problem as Bayesian inference or decision on a comprehensive model of the visual domain given by a probabilistic grammar.  ...  I exhibit a systematic way to derive neural nets for vision problems.  ...  We use it instead to find the best 2D rotation and horizontal translation, for two images which actually differ by a horizontal 3D translation with roughly constant camera orientation.  ... 
dblp:conf/nips/Mjolsness91 fatcat:ajrfsry6jrhavbdozhwuq56wwy

Probabilistic simultaneous pose and non-rigid shape recovery

Francesc Moreno-Noguer, Josep M. Porta
2011 CVPR 2011  
We present an algorithm to simultaneously recover nonrigid shape and camera poses from point correspondences between a reference shape and a sequence of input images.  ...  Under the assumption that the shape may be represented as a weighted sum of deformation modes, we show that the problem of estimating the modal weights along with the camera poses, may be probabilistically  ...  Simultaneous Pose and Non-Rigid Shape Based on a similar formalism as [8] used for rigid environments, we next show that the problem of simultaneously recovering pose and non-rigid shape can be probabilistically  ... 
doi:10.1109/cvpr.2011.5995532 dblp:conf/cvpr/Moreno-NoguerP11 fatcat:le3fisz5frbafc4vwhczghrrbu

Probabilistic Egomotion for Stereo Visual Odometry

H. Silva, A. Bernardino, E. Silva
2014 Journal of Intelligent and Robotic Systems  
We present a novel approach of probabilistic egomotion methods for Stereo Visual Odometry using vehicles equipped with calibrated stereo cameras.  ...  We combine a dense probabilistic 5D egomotion estimation method with a sparse keypoint based stereo approach to provide high quality estimates of vehicle's angular and linear velocities.  ...  Ciência e a Tecnologia within project FCT project [PEst-OE/EEI/LA0009/2013]" and under grant SFRH / BD / 47468 / 2008  ... 
doi:10.1007/s10846-014-0054-5 fatcat:gsk5znjdsnflxnf7pgxdsstoge

Reconstruction of high resolution 3D visual information

Berthod, Shekarforoush, Werman, Zerubia
1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition CVPR-94  
As for the depth map, our method is directly recovering surface heights without refering to surface orientations, whale increasing the resolution by camera jittering [2].  ...  We have proposed iterative algorithms for recovering high resolution albedo and depth maps that require no a priori knowledge of the scene, and therefore do not depend on other methods, as regards boundary  ...  A Probabilistic Framework At this stage we will sample both g and z (ie. the albedo and the altitude respectively) on a superresolution grid size and impose a probabilistic model on them.  ... 
doi:10.1109/cvpr.1994.323784 dblp:conf/cvpr/BerthodSWZ94 fatcat:nuqgtvrtczfing25wm3g55vj2e

Probabilistic egomotion from a statistical framework

H. Shah, A. Lakshmikumar
2007 Procedings of the British Machine Vision Conference 2007  
This framework explicitly gives probabilistic correspondence search regions that can be stably estimated for the whole range of planar, shallow and deep scenes using relatively few correspondences.  ...  These joint probability distributions are constrained by the epipolar constraint to yield a distribution over all feasible egomotions.  ...  Figure 3 : 3 Translation and rotational error in degrees for the estimated egomotion between cameras of the image (a) and (b). The comparision table is shown in (c).  ... 
doi:10.5244/c.21.113 dblp:conf/bmvc/ShahL07 fatcat:ex7ikcw2krbthpntjqw6a2upye

Robust Stereo Visual Odometry Based on Probabilistic Decoupling Ego-Motion Estimation and 3D SSC

Yan Wang, Hui-qi Miao, Lei Guo
2019 IEEE Access  
The non-negative constraint makes the method suitable for fast moving camera. The proposed 3D-SSC method removes the outliers belonging to dynamic objects effectively.  ...  Fast ZNCC method, based on local sum table and partition upper bound schemes, is presented for selecting probabilistic matches while keeping run-time efficiency.  ...  Therefore, the operation that estimates rotation and translation separately will recover rotation with extra precision and induce high accuracy for location [6] .  ... 
doi:10.1109/access.2018.2886824 fatcat:ucrph2egvjhtxawsyfwgmhkr44
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