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A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry

Zhengyou Zhang, Rachid Deriche, Olivier Faugeras, Quang-Tuan Luong
1995 Artificial Intelligence  
The epipolar geometry can then be accurately estimated using a meaningful image criterion. More matches are eventually found, as in stereo matching, by using the recovered epipolar geometry.  ...  This paper proposes a robust approach to image matching by exploiting the only available geometric constraint, namely, the epipolar constraint.  ...  Acknowledgment The authors thank Thierry Blaszka for the corner detection code, Cyril Zeller for the correlation code and various discussions, and Charles Rothwell for checking the English.  ... 
doi:10.1016/0004-3702(95)00022-4 fatcat:k5luinjgmnbobcwhfjbs2cmqtm

Factorization Method for Structure from Perspective Multi-View Images
多視点からの透視投影画像の因子分解による3次元形状復元

Koichiro DEGUCHI
1998 Transactions of the Society of Instrument and Control Engineers  
This paper describes a factorization-based algorithm that reconstructs 3D object structure as well as motion from a set of multiple uncalibrated perspective images.  ...  We established this fact by interpreting their purely mathematical theory in terms of the projective geometry of the imaging system and, thereby, giving physical meanings to the parameters involved.  ...  .: A Robust Technique for Matching Two Uncalibrated Images Through the Recovery of the Unknown Epipolar Geometry, Artificial Intelligence Journal, 78, 87/119 (1995) 12) O. Faugeras and L.  ... 
doi:10.9746/sicetr1965.34.1321 fatcat:3sxouqvazbbw3atmaj3gdw65ji

3D reconstruction from uncalibrated images taken from widely separated views

Chunmei Duan, Xiangxu Meng, Lu Wang
2008 2008 IEEE Conference on Cybernetics and Intelligent Systems  
In this paper, we present a framework for 3D reconstruction based on uncalibrated Images taken from widely separated views.  ...  With the recovered fundamental matrix and epipolar, the sparse projective 3D point cloud of the scene could be recovered.  ...  So, two views of the same rigid scene taken from different view points are related through the epipolar geometry.  ... 
doi:10.1109/iccis.2008.4670850 fatcat:gwq7g4gnbrgghnbrdthuuag43u

Surviving Dominant Planes in Uncalibrated Structure and Motion Recovery [chapter]

Marc Pollefeys, Frank Verbiest, Luc Van Gool
2002 Lecture Notes in Computer Science  
In this paper we address the problem of uncalibrated structure and motion recovery from image sequences that contain dominant planes in some of the views.  ...  The final result is a complete metric 3D reconstruction of both structure and motion for the whole sequence.  ...  The use of robust statistics for the computation of the epipolar geometry made it possible to obtain good results on real image data [27, 21] .  ... 
doi:10.1007/3-540-47967-8_56 fatcat:wnmvl6dvgndi3gu5bqthshjacm

Image-based geometrically-correct photorealistic scene/object modeling (IBPhM): A review [chapter]

Zhengyou Zhang
1997 Lecture Notes in Computer Science  
synthesizing new views from uncalibrated images, and techniques for modeling the appearance variation of a scene or an object under different illumination conditions.  ...  This paper presents a tentative review of the computer vision techniques used in such modeling which guarantee the generated views to be geometrically correct.  ...  Because the short time available for the preparation of this paper, many important references could be overlooked. Please email me.  ... 
doi:10.1007/3-540-63931-4_235 fatcat:b2yv4ovfvjawbc4rsyfbbhmt2y

Hand Posture Segmentation, Recognition and Application for Human-Robot Interaction [chapter]

Xiaoming Yin, Ming Xie
2007 Human Robot Interaction  
The first group of models is based on appearance of the hand in the visual images.  ...  Numerous approaches have been applied to interpret hand gestures for HCI. In those approaches, two main categories of hand gesture models are used.  ...  of our hands, and use the method presented above to derive the unknown epipolar geometry for the uncalibrated cameras.  ... 
doi:10.5772/6097 fatcat:tccxqupb4bb7vp6el7ldn72nza

Reconstruction of Sculpture From Its Profiles With Unknown Camera Positions

K.-Y.K. Wong, R. Cipolla
2004 IEEE Transactions on Image Processing  
Profiles of a sculpture provide rich information about its geometry, and can be used for shape recovery under known camera motion.  ...  In this paper, we describe a complete and practical system for producing a three-dimensional (3-D) model from uncalibrated images of an arbitrary object using its profiles alone.  ...  Besides, we introduce the use of the two outer epipolar tangents, which simplifies the correspondence problem in matching epipolar tangent points, making the algorithms more robust.  ... 
doi:10.1109/tip.2003.821113 pmid:15376929 fatcat:3mzdj2gvb5bo5ows56sturqocm

Relative Pose Estimation for Instrumented, Calibrated Imaging Platforms

Oscar Pizarro, Ryan M. Eustice, Hanumant Singh
2003 International Conference on Digital Image Computing: Techniques and Applications  
Recent efforts in robust estimation of the two-view relation have focused on uncalibrated cameras with no prior knowledge of pose.  ...  First, we improve the performace of the correspondence stage by using uncertain measurements from egomotion sensors to constrain possible matches.  ...  Application to Structure and Motion The robust two view matching for instrumented calibrated platforms is at the center of a system currently being developed for structure and motion recovery from underwater  ... 
dblp:conf/dicta/PizarroES03 fatcat:og56xxrj7vad5i7zhm7cvn7ytu

Contour matching using epipolar geometry

Joon Hee Han, Jong Seung Park
2000 IEEE Transactions on Pattern Analysis and Machine Intelligence  
In this paper we propose a contour matching algorithm which guarantees an accurate matching result, even for large motion contours. The key idea is to use epipolar geometry and geometric constraints.  ...  This contour matching method can be applied to contours from two or three di erent views. All of the processes are fully automatic and are successfully implemented and tested with many images.  ...  Acknowledgement This research has been supported by KOSEF through the Automation Research Center at POSTECH.  ... 
doi:10.1109/34.845378 fatcat:zm6watth3jbuplwllauosv3edq

Rapid modeling of animated faces from video images

Zicheng Liu, Zhengyou Zhang, Chuck Jacobs, Michael Cohen
2000 Proceedings of the eighth ACM international conference on Multimedia - MULTIMEDIA '00  
After five manual clicks on two images to tell the system where the eye corners, nose top mad mouth corners are, the system automatically generates a realistic looking 3D human head model and the constructed  ...  We have developed a system that constructs textured 3D face models from videos with minimal user interaction. Our system takes images and video sequences of a face with an ordinary video camera.  ...  A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry.  ... 
doi:10.1145/354384.376389 fatcat:wzklhdrk25auxky3osvgix7mmu

One-dimensional dense disparity estimation for three-dimensional reconstruction

L. Oisel, E. Memin, L. Morin, F. Galpin
2003 IEEE Transactions on Image Processing  
The algorithm proposed here relies first on a dense disparity field. The dense field estimation modelized within a robust framework is constrained by the epipolar geometry.  ...  We present a method for fully automatic three-dimensional (3-D) reconstruction from a pair of weakly calibrated images in order to deal with the modeling of complex rigid scenes.  ...  The epipolar geometry estimation is indeed a crucial key point of our method. The next paragraph will present the method we use to recover the fundamental matrix from two uncalibrated images. C.  ... 
doi:10.1109/tip.2003.815257 pmid:18237982 fatcat:76e3kp544rcqnefqdgivad7pyu

Forthcoming Papers

1995 Artificial Intelligence  
Luong, A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry This paper proposes a robust approach to image matching by exploiting the only available  ...  The epipolar geometry can then be accurately estimated using a meaningful image criterion. More matches are eventually found, as in stereo matching, by using the recovered epipolar geometry.  ...  This paper presents a new computational framework for matching a pair of stereo images arising from viewing the same object from two different positions.  ... 
doi:10.1016/0004-3702(95)90021-7 fatcat:dlj6ovgfqjerjmq76jkssdcy3e

Camera Network Calibration and Synchronization from Silhouettes in Archived Video

Sudipta N. Sinha, Marc Pollefeys
2009 International Journal of Computer Vision  
The key contribution of this work is a RANSAC-based algorithm that simultaneously computes the epipolar geometry and synchronization of a pair of cameras only from the motion of silhouettes in video.  ...  This is particularly useful for automatic reconstruction of a dynamic event using a camera network in a situation where precalibration of the cameras is impractical or even impossible.  ...  Acknowledgment We gratefully acknowledge the support of David and Lucille Packard Foundation Fellowship, NSF Career award IIS-0237533 and the European Research Council Grant -for their financial support  ... 
doi:10.1007/s11263-009-0269-2 fatcat:h7zumbf7ofguvhspoipob6srku

3-D Reconstruction of Urban Scenes from Sequences of Images [chapter]

Olivier Faugeras, Stéphane Laveau, Luc Robert, Gabriella Csurka, Cyril Zeller
1995 Automatic Extraction of Man-Made Objects from Aerial and Space Images  
In this paper, we address the problem of the recovery of the Euclidean geometry of a scene from a sequence of images without any prior knowledge either about the parameters of the cameras, or about the  ...  Using various computer vision tools, we establish correspondences between images and recover the epipolar geometry of the set of images, from which we show how to compute the complete set of perspective  ...  Acknowledgement The authors would like to acknowledge the fact that the work presented here would not have been possible without the contributions of Thierry Blaska, Rachid Deriche, Cyrille Gauclin, Charlie  ... 
doi:10.1007/978-3-0348-9242-1_15 fatcat:s7c4omim2beyrbtzbkx5mhfwea

From projective to Euclidean reconstruction

F. Devernay, O. Faugeras
1996 Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition  
To make a Euclidean reconstruction of the world seen through a stereo rig, we can either use a calibration grid, and the results will rely on the precision of the grid and the extracted points of interest  ...  Then, by matching two sets of points of the same scene reconstructed from different points of view, we try to find both the homography that maps the projective reconstruction 121 to the Euclidean space  ...  Robust recovery of the epipolar geometry for an uncalibrated stereo rig. In J-O.  ... 
doi:10.1109/cvpr.1996.517084 dblp:conf/cvpr/DevernayF96 fatcat:v6flzykksvf2rg4oy42dytmkqu
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