Comparison of Subpixel Corner Detection Based on Reprojection Error Criterion
نویسندگان
چکیده
This paper deals with conception of subpixel detection where the focus on accuracy of corner points detection is a goal. Specifically there is traditional Harris corner detector together with two subpixel approaches compared. The first approach is based on the orthogonal vector theory while the other one is refining coordinates by fitting quadratic curves over usual cornerness map. As the procedure for the results evaluation there was reprojection error criterion chosen. This task requires employing several problems from image processing and computer vision area which are also briefly mentioned in presented paper. Also the statistical analysis was performed and obtained results were shown in corresponding graphs and tables. This paper may contribute to the answer if subpixel detection paradigm could be useful in such applications as 3D reconstruction, robot navigation or many others.
منابع مشابه
Subpixel Corner Detection for Tracking Applications using CMOS Camera Technology
A multistage approach to gray-level corner detection is proposed in this paper, which is based on fast corner extraction using the Plessey corner detector combined with CMOS image acquisition technologies and localization refinement using a spatial subpixel analysis approach. The proposed corner detector detects corners as the intersection points of the involved edges, only by using a small nei...
متن کاملPlane Detection from Monocular Image Sequences
Planes are important geometric features and can be used in a wide range of applications. This work aims to illustrate a homography-based method to detect planes using the affine model. Using two image frames from a monocular sequence, a set of match pairs of interest points is obtained using Harris corner detector combined with the Scale Invariant Feature Transform (SIFT) as local descriptor. A...
متن کاملMinimiser l’erreur de reprojection en reconstruction de surfaces basée images Minimizing the Reprojection Error in Surface Reconstruction from Images
This paper addresses the problem of image-based surface reconstruction. Our main contribution is the computation of the exact derivative of the reprojection error functional. This allows, for the first time, its rigorous minimization via gradient descent surface evolution. The main difficulty has been to correctly take into account the visibility changes that occur when the surface moves. A geo...
متن کاملLand Cover Subpixel Change Detection using Hyperspectral Images Based on Spectral Unmixing and Post-processing
The earth is continually being influenced by some actions such as flood, tornado and human artificial activities. This process causes the changes in land cover type. Thus, for optimal management of the use of resources, it is necessary to be aware of these changes. Today’s remote sensing plays key role in geology and environmental monitoring by its high resolution, wide covering and low cost...
متن کاملA New Approach to Obtain Subpixel Corner Point Coordinates Based on Position from Cornerness Map Refinement
This paper deals with a proposing a new approach to specify corner points coordinates in subpixel accuracy. The describing algorithm uses the regular cornerness map obtained from the usual corner detectors as initial step. The main idea is to consider the cornerness values from a neighboring area around found corner point as a 3D profile object and to find the coordinates of its centroid. The p...
متن کامل