Motion and Structure from Feature Correspondences: A Review
2002; World Scientific; Linguagem: Inglês
10.1142/9789812776952_0013
ISSN1793-0839
AutoresThomas S. Huang, Arun N. Netravali,
Tópico(s)Geographic Information Systems Studies
ResumoSeries in Machine Perception and Artificial IntelligenceAdvances in Image Processing and Understanding, pp. 331-347 (2002) No AccessMotion and Structure from Feature Correspondences: A ReviewTHOMAS S. HUANG and ARUN N. NETRAVALITHOMAS S. HUANGBeckman Institute and Coordinated Science Laboratory, University of Illinois, Urbana, IL 61801, USA and ARUN N. NETRAVALIAT&T Bell Laboratories, Murray Hill, NJ 07974, USAhttps://doi.org/10.1142/9789812776952_0013Cited by:10 PreviousNext AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail Abstract: We present a review of algorithms and their performance for determining three-dimensional (3D) motion and structure of rigid objects when their corresponding features are known at different times or are viewed by different cameras. Three categories of problems are considered, depending upon whether the features are two- (2D) or three-dimensional (3D) and the type of correspondence: a) 3D to 3D (i.e., locations of corresponding features in 3D space are known at two different times), b) 2D to 3D (i.e., locations of features in 3D space and their projection on the camera plane are known), and c) 2D to 2D (i.e., projections of features on the camera plane are known at two different times). Features considered include points, straight lines, curved lines, and corners. Emphasis is on problem formulation, efficient algorithms for solution, existence and uniqueness of solutions, and sensitivity of solutions to noise in the observed data. Algorithms described have been used in a variety of applications. Some of these are: a) positioning and navigating 3D objects in a 3D world, b) camera calibration, i.e., determining location and orientation of a camera by observing 3D features whose location is known, c) estimating motion and structure of moving objects relative to a camera. We mention some of the mathematical techniques borrowed from algebraic geometry, projective geometry, and homotopy theory that are required to solve these problems, list unsolved problems, and give some directions for future research. FiguresReferencesRelatedDetailsCited By 10Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor DataAdrian Lopez-Rodriguez, Benjamin Busam and Krystian Mikolajczyk16 December 2022 | International Journal of Computer Vision, Vol. 131, No. 3Robust endoscopic image mosaicking via fusion of multimodal estimationLiang Li, Evangelos Mazomenos, James H. Chandler, Keith L. Obstein and Pietro Valdastri et al.1 Feb 2023 | Medical Image Analysis, Vol. 84Stabilization of spherical videos based on feature uncertaintyA. Luchetti, M. Zanetti, D. Kalkofen and M. De Cecco9 July 2022 | The Visual Computer, Vol. 77A Tighter Relaxation for the Relative Pose Problem Between CamerasMercedes Garcia-Salguero, Jesus Briales and Javier Gonzalez-Jimenez6 April 2022 | Journal of Mathematical Imaging and Vision, Vol. 64, No. 5Project to Adapt: Domain Adaptation for Depth Completion from Noisy and Sparse Sensor DataAdrian Lopez-Rodriguez, Benjamin Busam and Krystian Mikolajczyk27 February 2021SteReFo: Efficient Image Refocusing with Stereo VisionBenjamin Busam, Matthieu Hog, Steven McDonagh and Gregory Slabaugh1 Oct 2019Loose Fruit Recognition System With Implementation Of SURF Feature Extraction MethodM.S. Hassan, W.Z.W. Hasan, M.F. Mustafa, M.Z.A AB. Kadir and N. Azis et al.1 Sep 2019Performance Evaluation of a Fuzzy-Based Wireless Sensor and Actuator Network Testbed for Object TrackingMakoto Ikeda, Keisuke Ebisu, Yuki Sakai, Donald Elmazi and Leonard Barolli et al.1 Nov 2015Visual Odometry [Tutorial]Davide Scaramuzza and Friedrich Fraundorfer1 Dec 2011 | IEEE Robotics & Automation Magazine, Vol. 18, No. 4Mesh-based global motion compensation for robust mosaicking and detection of moving objects in aerial surveillanceMarco Munderloh, Holger Meuel and Jorn Ostermann1 Jun 2011 Advances in Image Processing and UnderstandingMetrics History PDF download
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