Relevant bibliographies by topics / Speeded-Up Robust Features

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Speeded-Up Robust Features'

Author: Grafiati
Published: 5 June 2025
Last updated: 15 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Speeded-Up Robust Features.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Speeded-Up Robust Features"

1

Bay, Herbert, Andreas Ess, Tinne Tuytelaars, and Luc Van Gool. "Speeded-Up Robust Features (SURF)." Computer Vision and Image Understanding 110, no. 3 (2008): 346–59. http://dx.doi.org/10.1016/j.cviu.2007.09.014.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Zhang, Jianguang, Yongxia Li, An Tai, Xianbin Wen, and Jianmin Jiang. "Motion Video Recognition in Speeded-Up Robust Features Tracking." Electronics 11, no. 18 (2022): 2959. http://dx.doi.org/10.3390/electronics11182959.

Full text
Abstract:
Motion video recognition has been well explored in applications of computer vision. In this paper, we propose a novel video representation, which enhances motion recognition in videos based on SURF (Speeded-Up Robust Features) and two filters. Firstly, the detector scheme of SURF is used to detect the candidate points of the video because it is an efficient faster local feature detector. Secondly, by using the optical flow field and trajectory, the feature points can be filtered from the candidate points, which enables a robust and efficient extraction of motion feature points. Additionally, w
APA, Harvard, Vancouver, ISO, and other styles
3

Jeevan, Musale*, and P. Mane A. "INDIAN SIGN LANGUAGE RECOGNITION WITH IMPLEMENTATION OF SPEEDED UP ROBUST FEATURES ALGORITHM." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 3 (2016): 517–22. https://doi.org/10.5281/zenodo.47635.

Full text
Abstract:
In This paper automatic gesture recognition is used for Indian Sign Language (ISL). In Indian sign language for representing alphabet we use both hands. We suggest an a method used in dealing with  addresses local-global ambiguity which increases the range of possible interpretations of natural language, and a computer has to find a way to deal with this identification, inter-class variability increases for each hand gesture. Hand parts are firstly separated and then detected by skin color model reference i.e. HSI. In this system the well-built points are removing out for recognition proc
APA, Harvard, Vancouver, ISO, and other styles
4

KONG Jun, JIANG Min, and Alimujiang Yiming. "Research on speeded-up robust features with RANSAC." International Journal of Advancements in Computing Technology 5, no. 8 (2013): 777–84. http://dx.doi.org/10.4156/ijact.vol5.issue8.88.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Ali, Hanaa S., Asmaa I. Ismail, Fathi A. Farag, and Fathi E. Abd El-Samie. "Speeded up robust features for efficient iris recognition." Signal, Image and Video Processing 10, no. 8 (2016): 1385–91. http://dx.doi.org/10.1007/s11760-016-0903-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

LIAO, Chao, Guijin WANG, Quan MIAO, Zhiguo WANG, Chenbo SHI, and Xinggang LIN. "DSP-Based Parallel Implementation of Speeded-Up Robust Features." IEICE Transactions on Information and Systems E94-D, no. 4 (2011): 930–33. http://dx.doi.org/10.1587/transinf.e94.d.930.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

LONG Si-yuan, 龙思源, 张. 葆. ZHANG Bao, 宋. 策. SONG Ce, and 孙保基 SUN Bao-ji. "Object detection based on improved speeded-up robust features." Chinese Optics 10, no. 6 (2017): 719–25. http://dx.doi.org/10.3788/co.20171006.0719.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Li, Jingyu, Yulei Wang, and Yanjie Wang. "Visual tracking and learning using speeded up robust features." Pattern Recognition Letters 33, no. 16 (2012): 2094–101. http://dx.doi.org/10.1016/j.patrec.2012.08.002.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Hsu, Wei-Yen, and Yan-Chieh Lee. "Rat Brain Registration Using Improved Speeded Up Robust Features." Journal of Medical and Biological Engineering 37, no. 1 (2017): 45–52. http://dx.doi.org/10.1007/s40846-016-0204-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Wang, Yin Tien, Chen Tung Chi, and Ying Chieh Feng. "Robot Simultaneous Localization and Mapping Using Speeded-Up Robust Features." Applied Mechanics and Materials 284-287 (January 2013): 2142–46. http://dx.doi.org/10.4028/www.scientific.net/amm.284-287.2142.

Full text
Abstract:
An algorithm for robot mapping is proposed in this paper using the method of speeded-up robust features (SURF). Since SURFs are scale- and orientation-invariant features, they have higher repeatability than that of the features obtained by other detection methods. Even in the cases of using moving camera, the SURF method can robustly extract the features from image sequences. Therefore, SURFs are suitable to be utilized as the map features in visual simultaneous localization and mapping (SLAM). In this article, the procedures of detection and matching of the SURF method are modified to improve
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Speeded-Up Robust Features"

1

Jurgensen, Sean M. "The rotated speeded-up robust features algorithm (R-SURF)." Thesis, Monterey, California: Naval Postgraduate School, 2014. http://hdl.handle.net/10945/42653.

Full text
Abstract:
Approved for public release; distribution is unlimited<br>Includes supplemental materials<br>Weaknesses in the Fast Hessian detector utilized by the speeded-up robust features (SURF) algorithm are examined in this research. We evaluate the SURF algorithm to identify possible areas for improvement in the performance. A proposed alternative to the SURF detector is proposed called rotated SURF (R-SURF). This method utilizes filters that are rotated 45 degrees counter-clockwise, and this modification is tested with standard detector testing methods against the regular SURF detector. Performance te
APA, Harvard, Vancouver, ISO, and other styles
2

Brykt, Andreas. "A testbed for distributed detection ofkeypoints and extraction of descriptors forthe Speeded-Up-Robust-Features (SURF)algorithm." Thesis, KTH, Kommunikationsnät, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-141475.

Full text
Abstract:
Detecting keypoints and computing descriptors needed in an imagerecognition algorithm are tasks that require substantial processing powerif they are to be executed in a short time span. If a network of sensornodes is used to capture the images to be processed, then the sensor nodescould be used to perform the actual processing. The system would dis-tribute the computing tasks to the available nodes in the network, so thatthe computing load can be divided among the nodes. By this, the com-puting time could possibly still be kept low, despite the large differencein available computing power betw
APA, Harvard, Vancouver, ISO, and other styles
3

Zavalina, Viktoriia. "Identifikace objektů v obraze." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-220364.

Full text
Abstract:
Master´s thesis deals with methods of objects detection in the image. It contains theoretical, practical and experimental parts. Theoretical part describes image representation, the preprocessing image methods, and methods of detection and identification of objects. The practical part contains a description of the created programs and algorithms which were used in the programs. Application was created in MATLAB. The application offers intuitive graphical user interface and three different methods for the detection and identification of objects in an image. The experimental part contains a test
APA, Harvard, Vancouver, ISO, and other styles
4

Liang, Jian-Kai, and 梁建凱. "Face Recognition based on Speeded-Up Robust Features." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/8map55.

Full text
Abstract:
碩士<br>國立臺北科技大學<br>電子工程系<br>106<br>In the decades, lots of neural network-based face recognition products have been announced due to the increased efficiency of Graphic Processing Unit (GPU). This kind of technology has been applied on many high-tech products like smartphone and so on. However, such neural network-based face recognition systems often suffer a highly computational burden due to the nonlinear nature of neural networks. As a result, finding a way to improve the run-time performance is the first to think about. In this dissertation, we apply the Facial Landmark and the Speeded Up R
APA, Harvard, Vancouver, ISO, and other styles
5

Durgam, Ujwal Kumar. "Synthetic Aperture Radar Image Registration Using Speeded Up Robust Features." Thesis, 2016. http://ethesis.nitrkl.ac.in/9289/1/2016_MT_UKDurgam.pdf.

Full text
Abstract:
Geometrically aligning images to a common geometrical axis is called image registration. Registration is required for images of a common scene obtained from different configurations to be used in various image processing applications. One image is considered to be a reference image and another a test image, the test image is transformed to the axis of reference image with the help of geometric transformation. Most of the image processing applications use integration and differentiation of data and image registration is a preliminary step for all such applications. Synthetic Aperture Radars pro
APA, Harvard, Vancouver, ISO, and other styles
6

Chen, Chung-Ying, and 陳俊穎. "SURF (Speeded-Up Robust Features) Based Visual Localization for a Mobile Robot." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/63955133610815789402.

Full text
Abstract:
碩士<br>國立中興大學<br>機械工程學系所<br>101<br>In this thesis, we consider the application of a visual based localization and mapping algorithm for a 4-Mecanum omni-directional mobile robot. Digital images are took by a camera in different time and pose. Using basic image processing technology and Speeded-Up Robust Features (SURF) detector, the coordinates of some feature points in an image are extracted, and the feature points detected in successive different images, projected from the same scene points are then matched. Based on the matched feature points between two successive images and using the Struc
APA, Harvard, Vancouver, ISO, and other styles
7

Kotha, Dileep Kumar. "Matching Forensic Sketches to Mug Shot Photos using Speeded Up Robust Features." Thesis, 2012. http://ethesis.nitrkl.ac.in/3558/1/thesis.pdf.

Full text
Abstract:
The problem that is dealt in the project is to match a forensic sketch against a gallery of mug shot photos. Research in past decade offered solutions for matching sketches that were drawn while looking at the subject (viewed sketches). In this thesis, emphasis is made on matching the forensic sketches, which are the sketches drawn by specially trained artists in police department based on the description of subject by an eyewitness. Recently, a method for forensic sketch matching using LFDA (Local Feature based Discriminant Analysis) was published. Here, the same problem is addressed using a
APA, Harvard, Vancouver, ISO, and other styles
8

Cai, Zong-Han, and 蔡宗翰. "Depth Measurement Based on Pixel Number Variation and Speeded Up Robust Features (SURF)." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/26750087644131777790.

Full text
Abstract:
碩士<br>國立臺灣師範大學<br>應用電子科技學系<br>100<br>This paper presents a method for depth measurement based on Speeded Up Robust Features (SURF) and pixel number variation of CCD Images. A single camera is used to capture two images in different photographing distances, where speeded up robust features in the images are extracted and matched. To remove mismatches from given putative point correspondences, an Identifying point correspondences by Correspondence Function (ICF) method is adopted in order to automatically select better reference points required by the pixel number variation method. Based on the
APA, Harvard, Vancouver, ISO, and other styles
9

Zeng, Ruo-han, and 曾若涵. "Feature extraction and matching of finger-vein pat-terns based on SURF(Speeded Up Robust Features)." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/9zy2j8.

Full text
Abstract:
碩士<br>國立臺灣科技大學<br>資訊工程系<br>100<br>In 20th century, electronic information let people have convenient life in the Global village. After 21s century, life become blend of intelligent technology gradually, but humans just not use intelligent technology to get information in a network, they also want use intelligent technology to create more convenient and comfortable life. If the technology is closely related to the life, then the technology safe is particularly important. Biometrics recognition is very popular in recent years, that use humans face、iris、voice、fingerprint to recognize, and the
APA, Harvard, Vancouver, ISO, and other styles
10

Pranata, Yoga Dwi, and 优嘉逸. "Deep Learning and Speeded Up Robust Features (SURF) for Calcaneus Fracture Classification and Detection on CT Images." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/e6z4yr.

Full text
Abstract:
碩士<br>國立中央大學<br>資訊工程學系在職專班<br>105<br>Calcaneus, also called as heel bone, is the largest tarsal bone that forms the rear part of the foot. Cuboid bone articulates with its anterior and superior sides together with talus bone. Calcaneus is known to be the most fracture prone tarsal bone. Calcaneal fractures represent only about 2% of all fractures but 60% of tarsal bones fractures[1]. Based on subtalar joint involvement, calcaneal fractures can be categorized into two types: intraarticular fracture and extraarticular fracture. Intraarticular fractures are more common where posterior talar artic
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Speeded-Up Robust Features"

1

Bay, Herbert, Tinne Tuytelaars, and Luc Van Gool. "SURF: Speeded Up Robust Features." In Computer Vision – ECCV 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11744023_32.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Verma, Nishchal Kumar, Ankit Goyal, A. Harsha Vardhan, Rahul Kumar Sevakula, and Al Salour. "Object Matching Using Speeded Up Robust Features." In Proceedings in Adaptation, Learning and Optimization. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27000-5_34.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Fu, Jing, Xiaojun Jing, Songlin Sun, Yueming Lu, and Ying Wang. "C-SURF: Colored Speeded Up Robust Features." In Trustworthy Computing and Services. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35795-4_26.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Banwaskar, M. R., and A. M. Rajurkar. "Creating Video Summary Using Speeded Up Robust Features." In Applied Computer Vision and Image Processing. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-4029-5_31.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Kaur, Prabhjot, Nitin Kumar, and Maheep Singh. "Biometric-Based Key Handling Using Speeded Up Robust Features." In Lecture Notes in Networks and Systems. Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-9228-5_52.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Kim, Minwoo, Deokho Kim, Kyungah Kim, and Won Woo Ro. "Efficient Descriptor-Filtering Algorithm for Speeded Up Robust Features Matching." In Lecture Notes in Electrical Engineering. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-41674-3_19.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Zhou, Minqi, and Vijayan K. Asari. "Speeded-Up Robust Features Based Moving Object Detection on Shaky Video." In Communications in Computer and Information Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22786-8_86.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Zhou, Minqi, and Vijayan K. Asari. "A Fast Video Stabilization System Based on Speeded-up Robust Features." In Advances in Visual Computing. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24031-7_43.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Zhang, Nan. "Computing Parallel Speeded-Up Robust Features (P-SURF) via POSIX Threads." In Emerging Intelligent Computing Technology and Applications. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04070-2_33.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Mendoza-Martinez, Cyntia, Jesus Carlos Pedraza-Ortega, and Juan Manuel Ramos-Arreguin. "A Novel Approach for Face Authentication Using Speeded Up Robust Features Algorithm." In Lecture Notes in Computer Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13647-9_33.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Speeded-Up Robust Features"

1

Zhao, Yunhe, Shiqi Chen, Chengbo Mou, Yunqi Liu, and Lin Zhang. "Fiber Specklegram Sensor based on Reflective LP31 Mode Rotation in Few-Mode Fiber." In CLEO: Applications and Technology. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_at.2024.jw2a.76.

Full text
Abstract:
We propose an LP31 mode-based fiber specklegram sensor based on twist-induced effect in few-mode tilted fiber Bragg grating with high accuracy using speeded-up robust feature algorithm, which would be helpful in the specklegram sensing fields.
APA, Harvard, Vancouver, ISO, and other styles
2

Svab, Jan, Tomas Krajnik, Jan Faigl, and Libor Preucil. "FPGA based Speeded Up Robust Features." In 2009 IEEE International Conference on Technologies for Practical Robot Applications (TePRA). IEEE, 2009. http://dx.doi.org/10.1109/tepra.2009.5339646.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Pinto, Binoy, and P. R. Anurenjan. "Video stabilization using Speeded Up Robust Features." In 2011 International Conference on Communications and Signal Processing (ICCSP). IEEE, 2011. http://dx.doi.org/10.1109/iccsp.2011.5739378.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Zheng, Xie, Shaohui Cui, Gang Wang, and Jinlun Li. "Video Stabilization System Based on Speeded-up Robust Features." In 2015 International Industrial Informatics and Computer Engineering Conference. Atlantis Press, 2015. http://dx.doi.org/10.2991/iiicec-15.2015.435.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Jadia, Ayushi, and M. P. S. Chawla. "Detection of Insulators by Point Feature Matching Using Speeded Up Robust Features." In 2021 10th IEEE International Conference on Communication Systems and Network Technologies (CSNT). IEEE, 2021. http://dx.doi.org/10.1109/csnt51715.2021.9509555.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

makhfi, Noureddine El. "Handwritten Arabic Word Spotting Using Speeded Up Robust Features Algorithm." In 2019 5th International Conference on Optimization and Applications (ICOA). IEEE, 2019. http://dx.doi.org/10.1109/icoa.2019.8727692.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Vardhan, A. Harsha, Nishchal K. Verma, Rahul K. Sevakula, and Al Salour. "Unsupervised approach for object matching using Speeded Up Robust Features." In 2015 IEEE Applied Imagery Pattern Recognition Workshop (AIPR). IEEE, 2015. http://dx.doi.org/10.1109/aipr.2015.7444541.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Guest, Richard, and Oscar Miguel-Hurtado. "Enhancing static biometric signature verification using Speeded-Up Robust Features." In 2012 IEEE International Carnahan Conference on Security Technology (ICCST). IEEE, 2012. http://dx.doi.org/10.1109/ccst.2012.6393561.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Brindha, N., and T. Amitha. "Transaction clues based video summarization using by speeded up robust features." In 2014 International Conference on Information Communication and Embedded Systems (ICICES). IEEE, 2014. http://dx.doi.org/10.1109/icices.2014.7034060.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Ranjan, Aravind, Abhishek Midya, Jayasree Chakraborty, and Somnath Sengupta. "Video error concealment using Speeded Up Robust Features and affine transformation." In 2014 IEEE Students' Technology Symposium (TechSym). IEEE, 2014. http://dx.doi.org/10.1109/techsym.2014.6807917.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Speeded-Up Robust Features' for particular source types:
Journal articles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography