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Cameras Viewing Cameras Geometry [article]

Danail Brezov, Michael Werman
2019 arXiv   pre-print
Here we study several theoretical aspects of the intra multi-view geometry of calibrated cameras when all that they can reliably recognize is each other.  ...  With the proliferation of wearable cameras, autonomous vehicles and drones, the geometry of these multiple cameras is a timely and relevant problem to study.  ...  This goes under the rubric of multi-view geometry or SLAM, simultaneous localization and mapping.  ... 
arXiv:1911.12706v1 fatcat:cvf262e4yneefjtud4uoq4lve4

Multi-View Geometry for Camera Networks [chapter]

Richard J. Radke
2009 Multi-Camera Networks  
N -camera geometry.  ...  This chapter introduces the basics of multiview geometry in computer vision, including image formation and camera matrices, epipolar geometry and the fundamental matrix, projective transformations, and  ...  While there is an entity called the trifocal tensor [26] relating three cameras' views that plays an analogous role to the fundamental matrix for two views, here we concentrate on the geometry of M general  ... 
doi:10.1016/b978-0-12-374633-7.00003-3 fatcat:ibjqnv5pnfa3rm4lsagllgdbfa

Multiple View Geometry for Curvilinear Motion Cameras

Cheng WAN, Jun SATO
2011 IEICE transactions on information and systems  
It enables us to define a multilinear relationship among image points derived from non-rigid object motions viewed from multiple cameras with arbitrary curvilinear motions.  ...  We show the new multilinear relationship is useful for generating images and reconstructing 3D non-rigid object motions viewed from cameras with arbitrary curvilinear motions.  ...  Five-View, Six-View and Seven-View Geometry Similarly, the five-view, six-view and seven-view geometry can also be derived for the extended cameras.  ... 
doi:10.1587/transinf.e94.d.1479 fatcat:djhqam52hjae5p33awznahu57y

On the Two-View Geometry of Unsynchronized Cameras [article]

Cenek Albl, Zuzana Kukelova, Andrew Fitzgibbon, Jan Heller, Matej Smid, Tomas Pajdla
2017 arXiv   pre-print
We present new methods for simultaneously estimating camera geometry and time shift from video sequences from multiple unsynchronized cameras.  ...  We evaluated the methods on synthetic and wide range of real world datasets and the results show a broad applicability to the problem of camera synchronization.  ...  First, we present a new method for simultaneous computation of two-view camera geometry and temporal offset parameters from minimal sets of point correspondences.  ... 
arXiv:1704.06843v1 fatcat:4rqlsynex5dhpntem55qqiqjaa

On the Two-View Geometry of Unsynchronized Cameras

Cenek Albl, Zuzana Kukelova, Andrew Fitzgibbon, Jan Heller, Matej Smid, Tomas Pajdla
2017 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
We present new methods for simultaneously estimating camera geometry and time shift from video sequences from multiple unsynchronized cameras.  ...  We evaluated the methods on synthetic and wide range of real world datasets and the results show a broad applicability to the problem of camera synchronization.  ...  First, we present a new method for simultaneous computation of two-view camera geometry and temporal offset parameters from minimal sets of point correspondences.  ... 
doi:10.1109/cvpr.2017.593 dblp:conf/cvpr/AlblKFHSP17 fatcat:i4vrsr4q65ae7plsrbl62tozgy

Multi-view geometry of 1D radial cameras and its application to omnidirectional camera calibration

S. Thirthala, M. Pollefeys
2005 Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1  
We study the multi-view geometry of 1D radial cameras.  ...  In the case of a purely rotating camera we obtain a trifocal tensor that can be estimated linearly from 7 points in three views.  ...  For a purely rotating camera a simpler constraint is obtained requiring 7 point correspondences across 3 views.  ... 
doi:10.1109/iccv.2005.158 dblp:conf/iccv/ThirthalaP05 fatcat:fgybqkxizjclhmryrsslmu6fiu

Multiple view geometry of projector-camera systems from virtual mutual projection

Shuhei KOBAYASHI, Fumihiko SAKAUE, Jun SATO
2010 Progress in Informatics  
For using the projector camera systems in these applications, it is very important to compute the geometry between projectors and cameras accurately.  ...  Recently, it has been shown that by using the mutual projection of cameras, multiple cameras are calibrated quite accurately.  ...  Multiple view geometry from virtual mutual projection 2 View geometry Let us first consider the multiple view geometry of a projector-camera system which consists of a projector, P 1 , and a camera,  ... 
doi:10.2201/niipi.2010.7.2 fatcat:ff6jxxnaebcv3cqtoo22pw7rca

Multiple View Geometry of Projector-Camera Systems from Virtual Mutual Projection [chapter]

Shuhei Kobayashi, Fumihiko Sakaue, Jun Sato
2009 Lecture Notes in Computer Science  
For using the projector camera systems in these applications, it is very important to compute the geometry between projectors and cameras accurately.  ...  Recently, it has been shown that by using the mutual projection of cameras, multiple cameras are calibrated quite accurately.  ...  Multiple View Geometry from Virtual Mutual Projection 2 View Geometry Let us first consider the multiple view geometry of a projector-camera system which consists of a projector, P 1 , and a camera,  ... 
doi:10.1007/978-3-540-92957-4_93 fatcat:ft3bbljy6jh3hpcq6rutoayhgu

Catadioptric Stereo with Planar Mirrors: Multiple-view Geometry and Camera Localization [chapter]

Gian Luca Mariottini, Stefano Scheggi, Fabio Morbidi, Domenico Prattichizzo
2010 Lecture notes in control and information sciences  
The paper presents a rigorous analytical treatment of the imaging geometry of PCS sensors and introduce new multiple view properties that are instrumental in addressing the camera localization problem.  ...  exact multi-camera synchronization and stereo calibration.  ...  New algebraic results on the multiple view geometry for the case of static and moving cameras (multi-view PCS) are introduced.  ... 
doi:10.1007/978-1-84996-089-2_1 fatcat:uezhaq3qvbdmrk767xy6556n5y

A simplified two-view geometry based external calibration method for omnidirectional and PTZ camera pairs

Yalin Bastanlar
2016 Pattern Recognition Letters  
Using the two-view geometry principles and making reasonable assumptions about the camera setup, calibration is performed with just two scene points.  ...  Most methods in this category make restrictive assumptions about the camera setup such as optical axes of the cameras coincide.  ...  Two-view geometry Let us briefly review the geometry between two cameras (or views).  ... 
doi:10.1016/j.patrec.2015.11.013 fatcat:7llfmi2uozhzfhh6v6beptjqpm

Computing Spatio-Temporal Multiple View Geometry from Mutual Projections of Multiple Cameras

Cheng WAN, Jun SATO
2010 IEICE transactions on information and systems  
The spatio-temporal multiple view geometry can represent the geometry of multiple images in the case where non-rigid arbitrary motions are viewed from multiple translational cameras.  ...  multiple view geometry.  ...  spatio-temporal multiple view geometry.  ... 
doi:10.1587/transinf.e93.d.2602 fatcat:ojfwba2jlnbpphzgsdr66l44di

Matching the Best Viewing Angle in Depth Cameras for Biomass Estimation Based on Poplar Seedling Geometry

Dionisio Andújar, César Fernández-Quintanilla, José Dorado
2015 Sensors  
This study assesses the potential of the Microsoft Kinect for Windows v.1 sensor to determine the best viewing angle of the sensor to estimate the plant biomass based on poplar seedling geometry.  ...  Four different viewing angles were compared: top view (0°), 45° downwards view, front view (90°) and ground upwards view (−45°).  ...  These cameras can be divided into two groups: Time of Flight (ToF) and structured-light emission cameras.  ... 
doi:10.3390/s150612999 pmid:26053748 pmcid:PMC4507630 fatcat:yvprwwnlc5eozgdzl4wanvxxwe

EGT for multiple view geometry and visual servoing - Robotics and vision with pinhole and panoramics cameras

G.L. Mariottini, D. Prattichizzo
2005 IEEE robotics & automation magazine  
Functions provided, for both pinhole and panoramic vision sensors, include camera placement and visualization, computation, estimation of epipolar geometry entities, and many others.  ...  visual information and the geometry between them.  ...  Epipolar Geometry for Catadioptric Cameras As in the pinhole cameras, the epipolar geometry is here defined when a pair of views is available.  ... 
doi:10.1109/mra.2005.1577022 fatcat:i2km2oecwvdwfjow5wjrhme32q

INFLUENCE OF THE VIEWING GEOMETRY WITHIN HYPERSPECTRAL IMAGES RETRIEVED FROM UAV SNAPSHOT CAMERAS

Helge Aasen
2016 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
<br><br> This study investigates the influence of the different viewing geometries within an image on the apparent hyperspectral reflection retrieved by these sensors.  ...  However, due to angular effects resulting from different sun-surface-sensor geometries, objects might appear differently depending on the position of an object within the field of view of a sensor.  ...  The scope of this study is to investigate the influence of the different viewing geometries within one hyperspectral image retrieved by a lightweight UAV snapshot camera.  ... 
doi:10.5194/isprsannals-iii-7-257-2016 fatcat:bvvm5smvcbecdoobdzzuyctpji

INFLUENCE OF THE VIEWING GEOMETRY WITHIN HYPERSPECTRAL IMAGES RETRIEVED FROM UAV SNAPSHOT CAMERAS

Helge Aasen
2016 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
<br><br> This study investigates the influence of the different viewing geometries within an image on the apparent hyperspectral reflection retrieved by these sensors.  ...  However, due to angular effects resulting from different sun-surface-sensor geometries, objects might appear differently depending on the position of an object within the field of view of a sensor.  ...  The scope of this study is to investigate the influence of the different viewing geometries within one hyperspectral image retrieved by a lightweight UAV snapshot camera.  ... 
doi:10.5194/isprs-annals-iii-7-257-2016 fatcat:7peqhdlilfh7llfftqtgjqzfqa
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