Filters








41,202 Hits in 3.7 sec

Bibliography [chapter]

Scott Krig
2014 Computer Vision Metrics  
Computer Vision and Image Understanding 84, no. 1 2001. 87. Pirsiavash, Hamed, and Deva Ramanan. "Detecting Activities of Daily Living in First-person Camera Views."  ...  Computer Vision and Image Understanding Volume 110, Issue 3, June 2008, Pages 346-359. 161. Lowe, David G. "SIFT Distinctive Image Features from Scale-Invariant Keypoints."  ... 
doi:10.1007/978-1-4302-5930-5_13 fatcat:bnsbslueindjrdsxjvt5ulcozq

Real-Time Lane Detection and Object Recognition in Self-Driving Car using YOLO neural network and Computer Vision

2020 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
Robo-car or self driving car consist many module like localization and mapping, scene understanding, movement planning, and driver state.  ...  In this paper, Object recognition is possible with help of YOLO (you only look once) which is one of the real time CNN methods aims to detect object inside the image as part of road track.  ...  For Autonomous robo-car research need a lot of real-world driving data with included field computer vision, Machine learning, Big data and Understanding.  ... 
doi:10.35940/ijitee.g1010.0597s20 fatcat:cdeyrhqmsvg5nihiflgx6n2p6q

A Review on Computer Vision Technology for Monitoring Poultry Farm – Application, Hardware, and Software

Nur Syazarin Natasha Abd Aziz, Salwani Mohd Daud, Rudzidatul Akmam Dziyauddin, Mohamad Zulkefli Adam, Azizul Azizan
2020 IEEE Access  
All the selected papers were manually examined and sorted to determine their relevance to computer vision in a poultry farm.  ...  We recommend our search by focusing on four keywords, 'computer vision' and 'poultry' or 'chicken' or 'broiler' that had been published between 2010 and early 2020 with open access provided by University  ...  ACKNOWLEDGMENT The authors would like to thank Universiti Tekonologi Malaysia (UTM) and specifically Advanced Informatics, Razak Faculty of Technology and Informatics, for realizing and supporting this  ... 
doi:10.1109/access.2020.3047818 fatcat:aiw5gtfi7javtips3bp6kof3l4

Subject index to volume 2

1988 International Journal of Approximate Reasoning  
resonance image data, 96-97 Artificial attributes, in information systems, 367-372 Artificial intelligence Bayesian prediction for, 342 choosing uncertainty representations in, 217-232 decision theory  ...  activator, 342 Bayesian belief networks, 337 stochastic stimulation of, 331 Bayesian inference, in model-based machine vision, 327-328 Bayesian prediction, for artificial intelligence, 342 Bayesian scheme  ...  resource constraints, reasoning about beliefs and actions under, 337-338 Computer vision comparison of reasoning mechanisms for, 339 fuzzy arithmetic for, 100-101 Concepts, acquisition of, 349-364  ... 
doi:10.1016/0888-613x(88)90114-4 fatcat:rj373wy2pzff3d3otqdhxs2gca

Intelligent Visual Media Processing: When Graphics Meets Vision

Ming-Ming Cheng, Qi-Bin Hou, Song-Hai Zhang, Paul L. Rosin
2017 Journal of Computer Science and Technology  
understanding and 3D model analysis.  ...  The computer graphics and computer vision communities have been working closely together in recent years, and a variety of algorithms and applications have been developed to analyze and manipulate the  ...  This research was sponsored by NSFC (NO. 61572264), Huawei Innovation Research Program (HIRP), CAST young talents plan, and Tianjin Short-term Recruitment Program of Foreign Experts.  ... 
doi:10.1007/s11390-017-1681-7 fatcat:j6u7dzfbhfgnlpnluqajjbaxy4

Computational Vision, a Link Between Psychology and Robotics

Bela Julesz
1986 Contemporary Psychology  
The term image understanding, ac- cording to Ullman, covers topics that are more accurately grouped under the ru- bric of computational vision.  ...  Here is a typical example of the difference between computational vision and human vision.  ... 
doi:10.1037/024237 fatcat:xjl4gkbfyfczdad5nz2romqmr4

Unsupervised Domain Adaptation with Temporal-Consistent Self-Training for 3D Hand-Object Joint Reconstruction [article]

Mengshi Qi, Edoardo Remelli, Mathieu Salzmann, Pascal Fua
2020 arXiv   pre-print
Deep learning-solutions for hand-object 3D pose and shape estimation are now very effective when an annotated dataset is available to train them to handle the scenarios and lighting conditions they will  ...  Unfortunately, this is not always the case, and one often has to resort to training them on synthetic data, which does not guarantee that they will work well in real situations.  ...  Leader in NICTAs computer vision research group, [87] J. Romero, D. Tzionas, and M.  ... 
arXiv:2012.11260v1 fatcat:wzloca4avzbtfcumf26bek6dc4

Amodal volume completion: 3D visual completion

Toby P. Breckon, Robert B. Fisher
2005 Computer Vision and Image Understanding  
applications. www.elsevier.com/locate/cviu Computer Vision and Image Understanding 99 (2005) 499-526 us to perceive the completion of occluded objects and reason how an object may appear from an alternative  ...  Here, we examine prior work in this area of computer vision with reference to psychological accounts of completion and identify remaining challenges for future work. (T.P.  ...  This work was supported by the UK EPSRC and QinetiQ PLC (www.qinetiq. com).  ... 
doi:10.1016/j.cviu.2005.05.002 fatcat:utah4qqb7vgufmfzhy3h7mckaa

Probabilistic feature-labelling schemes: modelling compatibility coefficient distributions

W.J. Christmas, J. Kittler, M. Petrou
1996 Image and Vision Computing  
"A Fractal-Based Relaxation Algorithm for Shape from Terrain Image". Computer Vision and Image Understanding, Vol 109, pp 227-243.118. M Deighton and M Petrou, 2009.  ...  "The Use of Boolean Model for Texture Analysis of Grey Images", Computer Vision and Image Understanding, Vol 74(3), pp 227-235. 69. M Mirmehdi and M Petrou, 1999.  ... 
doi:10.1016/0262-8856(96)01093-1 fatcat:3pspqryysrhxhpot4okgg4grga

AutoCloud+, a "Universal" Physical and Statistical Model-Based 2D Spatial Topology-Preserving Software for Cloud/Cloud–Shadow Detection in Multi-Sensor Single-Date Earth Observation Multi-Spectral Imagery—Part 1: Systematic ESA EO Level 2 Product Generation at the Ground Segment as Broad Context

Andrea Baraldi, Dirk Tiede
2018 ISPRS International Journal of Geo-Information  
Never accomplished to date in an operating mode by any EO data provider at the ground segment, systematic ESA EO Level 2 product generation is an inherently ill-posed computer vision (CV) problem (chicken-and-egg  ...  quality layers detection in multi-sensor, multi-temporal and multi-angular EO big data cubes characterized by the five Vs, namely, volume, variety, veracity, velocity and value.  ...  The authors wish to thank the Editor-in-Chief, Associate Editor and reviewers for their competence, patience and willingness to help.  ... 
doi:10.3390/ijgi7120457 fatcat:frhng3wbffct5ltnnv6trzofea

Page 235 of Technical Book Review Index Vol. 53, Issue 6 [page]

1987 Technical Book Review Index  
Volume One-Vision—includes an overview of imag- ing sensors and papers on robot vision sensors ...  ...  Volume two—Tactile and Non-Vision—covers pas- sive and active force sensors, tactile array sensors, tactile transducers, and ultrasonic sensors.”’ Putnam, Robert. Welding print reading.  ... 

Current research opportunities of image processing and computer vision

Abhishek Gupta
2019 Computer Science  
Image processing and computer vision is an important and essential area in today's scenario. Several problems can be solved through computer vision techniques.  ...  This article is targeted to the research students, scholars and researchers who are interested to solve the problems in the field of image processing and computer vision.  ...  and medical domain that can be solved through the concept of image processing and computer vision.  ... 
doi:10.7494/csci.2019.20.4.3163 fatcat:7rexjkhlkfes7kavgjtaly2nyy

Action Datasets and MHI [chapter]

Md. Atiqur Rahman Ahad
2012 SpringerBriefs in Computer Science  
There are a number of benchmark datasets for action, activity, gesture, and gait recognition. In this chapter, we present mainly those which are used to evaluate the MHI or its variants.  ...  Harris C, Stephens M (1988) A combined corner and edge detector. 4th alvey vision conference, pp 147-151 99. Trajkovic M, Hedley M (1998) Fast corner detection. Image Vis Comput 16(2):75-87 100.  ...  British Machine Vision Conference 86. Belongie S, Malik J (2000) Matching with shape contexts. IEEE workshop on contentbased access of image and video libraries 87.  ... 
doi:10.1007/978-1-4471-4730-5_4 fatcat:kvnpmq3zgbeftjrnnscq4gxed4

DEVELOPMENT AND PERFORMANCE EVALUATION OF A VIDEO IMAGE PROCESSING SYSTEM FOR TRAFFIC FLOW ANALYSIS - TrafficAnalyzer

Kazufumi SUZUKI, Hideki NAKAMURA
2006 Doboku Gakkai Ronbunshuu D  
Vol.62 No.3, 276-287, 2006. 7 Benjamin, C., David, B., Philip, M. and Jitendra, M. : A Real-time Computer Vision System for Vehicle Tracking and Traffic Surveillance, Transportation Research Part C 6  ...  In this study, a multi-functional video image processing system is developed, which can 1) count traffic volumes, 2) track moving objects such as vehicles and pedestrians, and 3) recognize license plates  ... 
doi:10.2208/jscejd.62.276 fatcat:euqb3m2fk5h5fclmyexwbebwkq

Quality Inspection and Grading of Agricultural and Food Products by Computer Vision-a Review

V G Narendra, K S Hareesh
2010 International Journal of Computer Applications  
The paper presents the recent development and application of image analysis and computer vision system in quality evaluation of products in the field of agricultural and food.  ...  It is very much essential to through light on basic concepts and technologies associated with computer vision system, a tool used in image analysis and automated sorting and grading is highlighted.  ...  and understanding an image [70] .  ... 
doi:10.5120/612-863 fatcat:gy2rn7lxnjadppiqatle6dm5xi
« Previous Showing results 1 — 15 out of 41,202 results