Search results for "Depth-from-motion"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
52	Larry H. Matthies, Takeo Kanade, Richard Szeliski	Kalman filter-based algorithms for estimating depth from image sequences.	Int. J. Comput. Vis.	1989	DBLP DOI BibTeX RDF
49	J.-L. Sune, Veronique Rebuffel, R. Samy	Depth-from-motion estimation based on a multiscale analysis of motion constraint equation validity.	ICIP	1995	DBLP DOI BibTeX RDF	depth from motion estimation, motion constraint equation, rigid scene, brightness change constraint equation, depth value, statistical framework, performance evaluation, motion estimation, image sequences, image sequence, statistical analysis, image resolution, image resolution, pixels, multiscale analysis, real images, camera motion, confidence measure, temporal information, synthetic images, brightness, local analysis
34	Miguel Angel Fernández, José M. López-Valles, Antonio Fernández-Caballero 0001, María T. López, José Mira, Ana E. Delgado	Permanency Memories in Scene Depth Analysis.	EUROCAST	2005	DBLP DOI BibTeX RDF
31	Y. S. Hung, H. T. Ho	A Kalman Filter Approach to Direct Depth Estimation Incorporating Surface Structure.	IEEE Trans. Pattern Anal. Mach. Intell.	1999	DBLP DOI BibTeX RDF	Depth-from-motion, surface structure, image sequence, Kalman filter, gradient method
30	Douglas A. Hanes, Julia Keller, Gin McCollum	Motion parallax contribution to perception of self-motion and depth.	Biol. Cybern.	2008	DBLP DOI BibTeX RDF	Vestibular, Optokinetic, Monocular, Theoretical, Visual
25	Zhijun Yang, Alan F. Murray, Florentin Wörgötter, Katherine L. Cameron, Vasin Boonsobhak	A neuromorphic depth-from-motion vision model with STDP adaptation.	IEEE Trans. Neural Networks	2006	DBLP DOI BibTeX RDF
24	Markus A. Dahlem, Florentin Wörgötter	Rotation-Invariant Optical Flow by Gaze-Depended Retino-Cortical Mapping.	Biologically Motivated Computer Vision	2002	DBLP DOI BibTeX RDF
24	Arun K. Dalmia, Mohan M. Trivedi	Depth extraction using a single moving camera: an integration of depth from motion and depth from stereo.	Mach. Vis. Appl.	1996	DBLP DOI BibTeX RDF	Integration, Motion, Structure, Stereo, Depth
22	Arun K. Dalmia, Mohan M. Trivedi	Depth extraction using lateral or axial camera motion: an integration of depth from motion and stereo.	ICIP	1995	DBLP DOI BibTeX RDF	depth extraction, axial camera motion, lateral camera motion, stereo processing, depth measurements, temporal gradient analysis, spatial gradient analysis, stereo matching process, mean error, camera translations, feature extraction, motion estimation, image sequences, image sequence, experiments, image matching, cameras, stereo image processing, spatial variables measurement, integrated method
21	Stefan Carlsson	Sufficient Image Structure for 3-D Motion and Shape Estimation.	ECCV (1)	1994	DBLP DOI BibTeX RDF
20	Richard Szeliski	Bayesian modeling of uncertainty in low-level vision.	Int. J. Comput. Vis.	1990	DBLP DOI BibTeX RDF
17	Alfred M. Bruckstein, Robert J. Holt, Igor Katsman, Ehud Rivlin	Head Movements for Depth Perception: Praying Mantis versus Pigeon.	Auton. Robots	2005	DBLP DOI BibTeX RDF	depth from motion, motion based visually mediated odometry, depth estimation, motion parallax, range estimation
15	Yangqi Long, Huimin Yu, Chenfeng Xu, Zhiqiang Deng	ADfM-Net: An Adversarial Depth-From-Motion Network Based on Cross Attention and Motion Enhanced.	IEEE Robotics Autom. Lett.	2023	DBLP DOI BibTeX RDF
15	Yixiong Zhang, Binyou Deng, Jun Tang	Depth from motion using critical point filters with unconstraint camera motion.	ICIP	2013	DBLP DOI BibTeX RDF
15	Ji Zhang, Mireille Boutin, Daniel G. Aliaga	Pose-Free Structure From Motion Using Depth From Motion Constraints.	IEEE Trans. Image Process.	2011	DBLP DOI BibTeX RDF
15	Marcel Mitran, Frank P. Ferrie	Active Surface Reconstruction Using the Gradient Strategy.	ECCV (4)	2002	DBLP DOI BibTeX RDF	active vision and autonomous robot navigation, structure-from-motion, Image-features, surface geometry
11	Tai Wang, Jiangmiao Pang, Dahua Lin	Monocular 3D Object Detection with Depth from Motion.	CoRR	2022	DBLP DOI BibTeX RDF
11	Tai Wang, Jiangmiao Pang, Dahua Lin	Monocular 3D Object Detection with Depth from Motion.	ECCV (9)	2022	DBLP DOI BibTeX RDF
11	Clement Pinard, Laure Chevalley, Antoine Manzanera, David Filliat	End-to-end depth from motion with stabilized monocular videos.	CoRR	2018	DBLP BibTeX RDF
11	Julien P. C. Valentin, Adarsh Kowdle, Jonathan T. Barron, Neal Wadhwa, Max Dzitsiuk, Michael Schoenberg, Vivek Verma, Ambrus Csaszar, Eric Turner, Ivan Dryanovski, João Afonso, Jose Pascoal, Konstantine Tsotsos, Mira Leung, Mirko Schmidt, Onur G. Guleryuz, Sameh Khamis, Vladimir Tankovich, Sean Ryan Fanello, Shahram Izadi, Christoph Rhemann	Depth from motion for smartphone AR.	ACM Trans. Graph.	2018	DBLP DOI BibTeX RDF
11	Gennady Livitz, Harald Ruda, Ennio Mingolla	A Neurally-Inspired Algorithm for Detecting Ordinal Depth from Motion Signals in Video Streams.	HVEI	2017	DBLP DOI BibTeX RDF
11	Chandramouli Paramanand, Ambasamudram N. Rajagopalan	Depth From Motion and Optical Blur With an Unscented Kalman Filter.	IEEE Trans. Image Process.	2012	DBLP DOI BibTeX RDF
11	Mohamed Hasan, Mohamed Abdellatif	Monocular Depth from Motion Using a New Closed-Form Solution.	ICIRA (3)	2012	DBLP DOI BibTeX RDF
11	Chandramouli Paramanand, A. N. Rajagopalan 0001	Unscented transformation for depth from motion-blur in videos.	CVPR Workshops	2010	DBLP DOI BibTeX RDF
11	Luigi Bagnato, Pascal Frossard, Pierre Vandergheynst	Optical flow and depth from motion for omnidirectional images using a TV-L1 variational framework on graphs.	ICIP	2009	DBLP DOI BibTeX RDF
11	Yong Liu 0015	View synthesis for depth from motion 3D X-ray imaging.		2009	RDF
11	J. Paul O. Evans, Y. Liu, J. W. Chan, D. Downes	View synthesis for depth from motion 3D X-ray imaging.	Pattern Recognit. Lett.	2006	DBLP DOI BibTeX RDF
11	Norbert Kirchgeßner, Hanno Scharr, Uli Schurr	3D-Modellierung von Pflanzenblättern mittels eines Depth-from-Motion-Verfahrens.	DAGM-Symposium	2000	DBLP DOI BibTeX RDF
11	Patrick A. De Mazière, Marc M. Van Hulle	Towards a Spatio-Temporal Analysis Tool for fMRI Data: An Application to Depth-from-Motion Processing in Humans.	NCPW	2000	DBLP DOI BibTeX RDF
11	Veronique Rebuffel, J.-L. Sune	Estimation of depth-from-motion combining iterative prediction scheme and regularization framework.	ICPR	1996	DBLP DOI BibTeX RDF
11	Rabindranath Dutta, Charles C. Weems	Parallel dense depth-from-motion on the image understanding architecture.	CVPR	1993	DBLP DOI BibTeX RDF
11	Massimo Tistarelli, Giulio Sandini	Estimation of depth from motion using an anthropomorphic visual sensor.	Image Vis. Comput.	1990	DBLP DOI BibTeX RDF
11	Massimo Tistarelli, Giulio Sandini	On The Estimation Of Depth From Motion Using An Anthropomorphic Visual Sensor.	ECCV	1990	DBLP DOI BibTeX RDF
9	Stefano Soatto, Pietro Perona	Reducing "Structure From Motion": A General Framework for Dynamic Vision Part 1: Modeling.	IEEE Trans. Pattern Anal. Mach. Intell.	1998	DBLP DOI BibTeX RDF	Visual motion estimation, motion decoupling, output stabilization, epipolar geometry, compensation, model reduction, fixation, parallax
9	Stefano Soatto, Pietro Perona	Reducing "structure from motion".	CVPR	1996	DBLP DOI BibTeX RDF	structure from motion reduction, dynamical system reduction, implicit decoupling techniques, common framework, motion estimation, image sequences, recursive estimation, recursive estimation, geometric properties, monocular image sequences, rigidity constraint
6	Katherine L. Cameron, Alan F. Murray	Minimizing the Effect of Process Mismatch in a Neuromorphic System Using Spike-Timing-Dependent Adaptation.	IEEE Trans. Neural Networks	2008	DBLP DOI BibTeX RDF
6	Ingo Ahrns, Heiko Neumann	Space-Variant Dynamic Neural Fields for Visual Attention.	CVPR	1999	DBLP DOI BibTeX RDF