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View synthesis by trinocular edge matching and transfer

S. Pollard, M. Pilu, S. Hayes, A. Lorusso
2000 Image and Vision Computing  
This paper presents a novel automatic method for view synthesis (or image transfer) from a triplet of uncalibrated images based on trinocular edge matching followed by transfer by interpolation, occlusion  ...  detection and correction and finally rendering.  ...  Additionally, for completeness of the synthesised images, extra edge Creating virtual views A virtual view is created by first transferring edges into a virtual "sketch" and then by colouring raster  ... 
doi:10.1016/s0262-8856(99)00078-5 fatcat:n3jly2mgorhgjg5urmwjblc5ju

View Synthesis by Trinocular Edge Matching and Transfer

S. Pollard, M. Pilu, S. Hayes, A. Lorusso
1998 Procedings of the British Machine Vision Conference 1998  
This paper presents a novel automatic method for view synthesis (or image transfer) from a triplet of uncalibrated images based on trinocular edge matching followed by transfer by interpolation, occlusion  ...  detection and correction and finally rendering.  ...  Additionally, for completeness of the synthesised images, extra edge Creating virtual views A virtual view is created by first transferring edges into a virtual "sketch" and then by colouring raster  ... 
doi:10.5244/c.12.77 dblp:conf/bmvc/PollardPHL98 fatcat:lorcefw6kzcb7pcqdrcpa46awa

View synthesis by trinocular edge matching and transfer

S. Pollard, M. Pilu, S. Hayes, A. Lorusso
Proceedings Fourth IEEE Workshop on Applications of Computer Vision. WACV'98 (Cat. No.98EX201)  
This paper presents a novel automatic method for view synthesis (or image transfer) from a triplet of uncalibrated images based on trinocular edge matching followed by transfer by interpolation, occlusion  ...  detection and correction and finally rendering.  ...  Additionally, for completeness of the synthesised images, extra edge Creating virtual views A virtual view is created by first transferring edges into a virtual "sketch" and then by colouring raster  ... 
doi:10.1109/acv.1998.732875 dblp:conf/wacv/PollardPHL98 fatcat:r6n6jdlzlzhejecy4ku5oeccjy

Learning monocular depth estimation with unsupervised trinocular assumptions [article]

Matteo Poggi, Fabio Tosi, Stefano Mattoccia
2018 arXiv   pre-print
Therefore, in this paper, we tackle these issues by moving to a trinocular domain for training.  ...  This strategy allows obtaining depth maps not affected by typical stereo artifacts.  ...  [25] formulated the monocular depth estimation problem as a view synthesis procedure followed by a deep stereo matching approach. Kumar et al.  ... 
arXiv:1808.01606v1 fatcat:lfn2nad44vexpcrkyp5wdlcn3y

Inverse tensor transfer with applications to novel view synthesis and multi-baseline stereo

Hongdong Li, Richard Hartley
2006 Signal processing. Image communication  
A new tensor transfer-based NVS (novel view synthesis) method is proposed in this paper.  ...  By using this inverse transfer idea, we are able to handle non-ideally configured multi-baseline stereo in a natural and efficient way.  ...  The authors wish to thank editors and anonymous reviewers for their invaluable comments.  ... 
doi:10.1016/j.image.2006.07.004 fatcat:va65oa3kbffavdaxyqictqdq4e

Super-resolution of a 3-dimensional scene from novel viewpoints

Kyle Nelson, Asim Bhatti, Saeid Nahavandi
2012 2012 12th International Conference on Control Automation Robotics & Vision (ICARCV)  
The proposed robust inverse tensor transfer algorithm for novel view synthesis achieves significant robustness and quality improvements compared to existing methods by introducing a novel multi-stage approach  ...  inverse tensor transfer for novel view synthesis, culminating in method for multi-view super-resolution which demonstrates that it is indeed possible to extend superresolution concepts from two dimensions  ...  reference view can have on a view synthesised by tensor transfer.  ... 
doi:10.1109/icarcv.2012.6485347 dblp:conf/icarcv/NelsonBN12 fatcat:wfakbldhzfhl3jlkcwsuu7v34m

Deconstructing Self-Supervised Monocular Reconstruction: The Design Decisions that Matter [article]

Jaime Spencer Martin, Chris Russell, Simon Hadfield, Richard Bowden
2022 arXiv   pre-print
We re-implement, validate and re-evaluate 16 state-of-the-art contributions and introduce a new dataset (SYNS-Patches) containing dense outdoor depth maps in a variety of both natural and urban scenes.  ...  It is likely that many papers were not only optimized for particular datasets, but also for errors in the data and evaluation criteria.  ...  This is achieved by applying the view synthesis module to the disparities, as opposed to the images.  ... 
arXiv:2208.01489v1 fatcat:4bxoe7lryjgmvpjvisd4l4q6cy

Front Matter: Volume 1395

1990 Close-Range Photogrammetry Meets Machine Vision  
Sun, SESSION B9 ALGORITHMIC ASPECTS IN IMAGE ANALYSIS III Straight-edge extraction and matching Y. Liu, T. S.  ...  Sun, Wuhan Technical Univ. of Surveying and Mapping (China) 595 602 605 SESSION B9 ALGORITHMIC ASPECTS IN IMAGE ANALYSIS III Straight -edge extraction and matching Y. Liu, T. S.  ... 
doi:10.1117/12.2294402 fatcat:tf44q76e6jeolp54b6fhr7lxoy

A Real-Time Model-Based Human Motion Tracking and Analysis for Human-Computer Interface Systems

Chung-Lin Huang, Chia-Ying Chung
2004 EURASIP Journal on Advances in Signal Processing  
The motion parameters are estimated by pattern matching between the extracted human silhouette and the human model.  ...  This method tracks and analyzes the human motion from two orthogonal views without using any markers.  ...  The abstract levels for comparing image data and synthesis data can be edges, silhouettes, contours, sticks, joints, blobs, texture, motion, and so forth.  ... 
doi:10.1155/s1110865704401206 fatcat:exdtoz6nszen7lbwmllaiq6uei

Deep Learning for Omnidirectional Vision: A Survey and New Perspectives [article]

Hao Ai, Zidong Cao, Jinjing Zhu, Haotian Bai, Yucheng Chen, Lin Wang
2022 arXiv   pre-print
(iv) An insightful discussion of the challenges and open problems by highlighting the potential research directions to trigger more research in the community.  ...  Omnidirectional image (ODI) data is captured with a 360x180 field-of-view, which is much wider than the pinhole cameras and contains richer spatial information than the conventional planar images.  ...  Cross-view Synthesis and Geo-localization Insight: Cross-view synthesis aims to synthesize ground-view ODIs from the satellite-view images while geo-localization aims to match the ground-view ODIs and  ... 
arXiv:2205.10468v2 fatcat:73fks33oafa6zgxliccydvdbeq

Monocular Depth Estimation Based On Deep Learning: An Overview [article]

Chaoqiang Zhao, Qiyu Sun, Chongzhen Zhang, Yang Tang, Feng Qian
2020 arXiv   pre-print
Traditional depth estimation methods, like structure from motion and stereo vision matching, are built on feature correspondences of multiple viewpoints.  ...  Meanwhile, dense depth maps are estimated from single images by deep neural networks in an end-to-end manner.  ...  Features from different viewpoints are synthesised by performing stereo matching, thereby achieving outstanding performance.  ... 
arXiv:2003.06620v1 fatcat:l5ei3ognova6xkyppflef5nqsq

On the Synergies between Machine Learning and Binocular Stereo for Depth Estimation from Images: a Survey [article]

Matteo Poggi, Fabio Tosi, Konstantinos Batsos, Philippos Mordohai, Stefano Mattoccia
2021 arXiv   pre-print
Stereo matching is one of the longest-standing problems in computer vision with close to 40 years of studies and research.  ...  Recently, the rise of machine learning and the rapid proliferation of deep learning enhanced stereo matching with new exciting trends and applications unthinkable until a few years ago.  ...  To overcome this limitation, three main categories of techniques aiming to bridge the gap between synthetic and real domains have been proposed: i) image synthesis and domain transfer, ii) self-supervised  ... 
arXiv:2004.08566v2 fatcat:wcwfgzibo5evbkun3atpsz6kwm

Unsupervised Learning of Monocular Depth Estimation with Bundle Adjustment, Super-Resolution and Clip Loss [article]

Lipu Zhou, Jiamin Ye, Montiel Abello, Shengze Wang, Michael Kaess
2018 arXiv   pre-print
In bundle adjustment, depths and poses of an image sequence are jointly optimized, which increases the baseline by establishing the relationship between farther frames.  ...  We present a novel unsupervised learning framework for single view depth estimation using monocular videos.  ...  Similarly, our algorithm jointly optimizes depths and camera poses by using photometric consistency loss and cross-sequence geometric consistency loss. Arcs represent view synthesis.  ... 
arXiv:1812.03368v1 fatcat:462ptqvitjcmlmhig6im2hmmke

2020 Index IEEE Transactions on Circuits and Systems for Video Technology Vol. 30

2020 IEEE transactions on circuits and systems for video technology (Print)  
., TCSVT Jan. 2020 217-231 Hu, X., see Zhu, L., TCSVT Oct. 2020 3358-3371 Hu, Y., Lu, M., Xie, C., and Lu, X  ...  ., and Zeng, B., MUcast: Linear Uncoded Multiuser TCSVT Nov. 2020 4299-4308 Hu, R., see Chen, L., TCSVT Dec. 2020 4513-4525 Hu, R., see Wang, X., TCSVT Nov. 2020 4309-4320 Hu, X., see Zhang, X  ...  Lin, C., TCSVT June 2020 1771-1784 A View Synthesis-Based 360° VR Caching System Over MEC-Enabled C-RAN.  ... 
doi:10.1109/tcsvt.2020.3043861 fatcat:s6z4wzp45vfflphgfcxh6x7npu

A secure and reliable next generation mobility

Yutaka SATOH, Katsuhiko SAKAUE
2009 Synthesiology English edition  
This wheelchair helps the rider to move safely indoors and outdoors and in space shared by pedestrians.  ...  In chapter 3, we describe the selection of elemental technologies necessary for constructing the prototype, and chapter 4 presents the integration and the synthesis.  ...  The screen is a touch panel, and the desired view can be displayed by touching the screen with a finger.  ... 
doi:10.5571/syntheng.2.107 fatcat:mm2u7fqbsfcqfmfyrpifdw5t6y
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