Results 11 to 20 of about 407,227 (263)
Critical motions in euclidean structure from motion [PDF]
Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149), 2003 We investigate the motions that lead to ambiguous Euclidean scene reconstructions under several common calibration constraints, giving a complete description of such critical motions for: (i) internally calibrated orthographic and perspective cameras; (ii) in two images, for cameras with unknown focal lengths, either different or equal.
Kahl, Fredrik, Triggs, Bill
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Structure from motion: A tolerance analysis [PDF]
Perception & Psychophysics, 1996 We present a tolerance analysis that is applicable to a large group of stimuli used in structure-from-motion tasks. Human performance in structure-from-motion tasks reflects the fact that the visual system deals with projections of a 3-D world on the retina. A tolerance analysis reveals the relationship between the projections and the 3-D world.
Hogervorst, M.A. +2 more
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Street View Motion-from-Structure-from-Motion [PDF]
2013 IEEE International Conference on Computer Vision, 2013 We describe a structure-from-motion framework that handles "generalized" cameras, such as moving rolling-shutter cameras, and works at an unprecedented scale-billions of images covering millions of linear kilometers of roads-by exploiting a good relative pose prior along vehicle paths.
Bryan Matthew Klingner +2 more
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Learning Structure-from-Motion from Motion [PDF]
, 2019 This work is based on a questioning of the quality metrics used by deep neural networks performing depth prediction from a single image, and then of the usability of recently published works on unsupervised learning of depth from videos. To overcome their limitations, we propose to learn in the same unsupervised manner a depth map inference system from
Clément Pinard +3 more
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A survey of structure from motion.
Acta Numerica, 2017 The structure from motion (SfM) problem in computer vision is to recover the three-dimensional (3D) structure of a stationary scene from a set of projective measurements, represented as a collection of two-dimensional (2D) images, via estimation of motion of the cameras corresponding to these images. In essence, SfM involves the three main stages of (i)
Onur Özyesil +3 more
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IEEE Access, 2019 The processing time of incremental structure from motion increases exponentially with the number of images. As a result, a huge amount of time is needed for large datasets.
Luping Lu, Yong Zhang, Kai Liu
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Open Archaeology, 2021 Digital technologies have been at the heart of fieldwork at the Kaymakçı Archaeological Project (KAP) since its beginning in 2014. All data on this excavation are born-digital, from textual, photographic, and videographic descriptions of contexts and ...
Scott Catherine B. +3 more
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Analysis of Changes in Forest Structure using Point Clouds from Historical Aerial Photographs
Remote Sensing, 2019 Dynamic changes in land use, many of which are related to land abandonment, are taking place in many regions of the world. As a result, forest vegetation appears, which in part is a consequence of planned afforestation programs and in part has the ...
Piotr Bożek +2 more
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Remote Sensing, 2021 Wildfire shapes vegetation assemblages in Mediterranean ecosystems, such as those in the state of California, United States. Successful restorative management of forests in-line with ecologically beneficial fire regimes relies on a thorough understanding
Sean Reilly +5 more
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LiDAR-enhanced Structure-from-Motion [PDF]
2020 IEEE International Conference on Robotics and Automation (ICRA), 2020 6 pages plus reference.
Weikun Zhen +3 more
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