Mismatch Elimination based on Shape Matrix for Wide-baseline Image Matching

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SEDAGHAT AMIN; MOHAMMADI NAZILA

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Journal: MACHINE VISION AND IMAGE PROCESSING Year:2020 | Volume:7 | Issue:1 Page(s): 135-151

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Information Journal Paper

Title

Mismatch Elimination based on Shape Matrix for Wide-baseline Image Matching

Author(s)

SEDAGHAT AMIN | MOHAMMADI NAZILA | Issue Writer Certificate

Keywords

Image matching

Feature extraction

MSER

DAISY

Shape matrix

Abstract

Wide-baseline Image matching with significant viewpoint differences plays a fundamental role in many computer vision and photogrammetry applications, such as 3D reconstruction and image registration. One of the main problems of matching these images is the existence of a relatively large number of mismatches. Generally, a geometric consistency check process based on various geometrical constraints and robust estimator methods such as the epipolar line and RANSAC algorithm is used for mismatch elimination. However, conventional geometry ﬁ ltering methods in wide-baseline images will fail if the number of outliers is very high. In addition, these methods have high computational complexity. In this paper, a novel mismatch elimination approach in wide-baseline images with significant viewpoint differences is presented. First, initial elliptical features are extracted using improved MSER (maximally stable extremal regions) detector in both images. Then, a distinctive DAISY descriptor is generated for each extracted feature. In the next step, the initial feature correspondence process is established using Euclidean distance between feature descriptors. Then, a novel mismatch elimination approach based on features Shape matrix, named MESM (mismatch elimination based on Shape matrix), is applied. Finally, the few remained blunders are removed by using a geometric constraint. The proposed Image matching and mismatch elimination algorithms were successfully applied to match eight close-range image pairs with significant viewpoint differences, and the results demonstrate its capability to improve matching performance.

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APA: Copy

SEDAGHAT, AMIN, & MOHAMMADI, NAZILA. (2020). Mismatch Elimination based on Shape Matrix for Wide-baseline Image Matching. MACHINE VISION AND IMAGE PROCESSING, 7(1 ), 135-151. SID. https://sid.ir/paper/360636/en

Vancouver: Copy

SEDAGHAT AMIN, MOHAMMADI NAZILA. Mismatch Elimination based on Shape Matrix for Wide-baseline Image Matching. MACHINE VISION AND IMAGE PROCESSING[Internet]. 2020;7(1 ):135-151. Available from: https://sid.ir/paper/360636/en

IEEE: Copy

AMIN SEDAGHAT, and NAZILA MOHAMMADI, “Mismatch Elimination based on Shape Matrix for Wide-baseline Image Matching,” MACHINE VISION AND IMAGE PROCESSING, vol. 7, no. 1 , pp. 135–151, 2020, [Online]. Available: https://sid.ir/paper/360636/en

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