Search Results - "Match Point"

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  1. 1

    Performance evaluation of feature detection and feature matching for stereo visual odometry using SIFT and SURF by Mohd Suaib, Norhayati, Marhaban, Mohammad Hamiruce, Saripan, M. Iqbal, Ahmad, Siti Anom

    Published 2014
    “…The results show that SURF is outperform than SIFT in term of rate of matched points and also in computational time.…”
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  2. 2

    Investigating the effectiveness of point features matching for detecting gun items by Nur Najwa, Ibrahim

    Published 2018
    “…Based on the experiments conducted, the PFM is effectively detect the gun items regardless the different position and various size when the percentage similarity of matching points more than or equal 50%.…”
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  3. 3

    Engine-propeller matching for fishing vessel at Kuala Pahang by Muhammad Zaharin, Zakaria

    Published 2010
    “…From the result, a propeller and an engine is selected to find the matching point. At the point, the power output from the engine equals to power absorb by the propeller. …”
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  4. 4

    Analysis Of Sift And Surf Algorithms For Image Mosaicing On Embedded Platform by Ooi , Chong Wei

    Published 2015
    “…Performance comparison between SURF and SIFT is made. To obtain matching point between images, Flann Based Matcher is used. …”
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  5. 5

    Palm vein recognition using scale invariant feature transform with RANSAC mismatching removal by Shi Chuan, Soh, M. Z., Ibrahim, Marlina, Yakno, D.J., Mulvaney

    Published 2017
    “…The results shows that SIFT algorithm with RANSAC mis-matching point removal achieved better recognition rate than without mismatch-ing point removal technique used. …”
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  6. 6

    Image stitching approach using minimum average correlation energy /Siti Salbiah Samsudin by Siti Salbiah , Samsudin

    Published 2012
    “…In the second set of analysis involving images of natural scenery, a number of overlapping images were presented to the system to test its ability to recognize the correct matching points to merge them. Then pairs of non-overlapping images were introduced to the system to check whether the system able to identify that if they were not related and should not be merged. …”
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  7. 7

    Impact of external forces on the quality of digital elevation model derived from drone technology by Isola, Ajibola Ismaila, Mansor, Shattri, Shafri, Helmi, Pradhan, Biswajeet, Mansor, Yaakob

    Published 2019
    “…The results were validated using height of the GCPs and their matching points on the DEMs. The validated test produced RMSE of 0.03m, 0.05m, 0.07m, 0.1m, 0.13m, 0.14m, and 0.16m in that order of altitudes earlier mentioned above. …”
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  8. 8

    An investigation into semi-automated 3D city modelling by Kokkas, Nikolaos

    Published 2009
    “…The final refinement of the building outline is performed for each linear segment using the filtered stereo matched points with a least squares estimation. The digital reconstruction of the roof shapes is performed by implementing a least squares-plane fitting algorithm on the classified VDDSMs, which is restricted by the building outlines, the minimum size of the planes and the maximum height tolerance between adjacent 3D points. …”
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  9. 9

    Disparity map calculation through epipolar lines estimation for 3D facial reconstruction by Cheddad, Abbas, Setan, Halim, Majid, Zulkepli

    Published 2005
    “…To eliminate this problem and to increase the precision we chose to start with an initial eight matched points to generate the Fundamental Matrix (FM), this is called the 8- Points Algorithm. …”
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  10. 10

    Tracking Pointer At Endoscopic Images For Telepointer Remote Guided by Muhamad Hamizi Zaidi, Mohd Jonhanis

    Published 2022
    “…Unfortunately, due to changes in tissue characteristics such as continuous movement, non-rigid, homogeneous texture, and varied illumination, the precision of the matched point is always bound in relying on a single hard decision. …”
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  11. 11

    Computational methods for classifying glaucomatous visual field measurements by Meng, Shuanghui

    Published 2007
    “…Simulated data is a good resource for testing the efficiency of different methods in detecting progression, and for developing new methods with minimal cost.The thesis then investigates four classification techniques, including Event Analysis( EA), sequence matching, point-wise linear regression (PLR) and machine learning. …”
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