Acquiring information from cues

Rosin, Paul L.

doi:10.1016/0167-8655(93)90111-p

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…Previous work can be classified into two categories, namely, minimizing the algebraic distance and minimizing the geometric distance, according to their error distance definitions. (11)(12)(13)(14)(15)(16)(17)(18)(19) The problems with geometric fitting (i.e., ineffective initialization, nonuniform point sampling, and heavy noise) are likely to result in an ineffective local minimum solution. Furthermore, it is challenging to deduce the geometric error in high-dimensional spaces.…”

Section: Introductionmentioning

confidence: 99%

Application of Optimal Ellipsoid Fitting for Curvature Change Tracking in Main Reflector of Complex Antenna Structures

Kim¹,

Hong²

2019

Sensors and Materials

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In this study, a curvature change tracking program was developed to evaluate curvature changes in the main reflector of a very long baseline interferometry (VLBI) antenna structure. The data from the geometric model that was developed by fitting the main reflector into a threedimensional (3D) ellipsoid model were used as the fundamental data for the tracking program. The 3D ellipsoid fitting model was established using the 3D position coordinates of the feature points on the reflector surface extracted through nontarget-based close-range photogrammetry. To enhance the fitting accuracy of the 3D ellipsoid model, the optimal parameters were calculated by minimizing the residuals between the conjugate points and the ellipsoid fitting model and by removing outliers. As a result, it was statistically confirmed that the fitting accuracy of the ellipsoid model was improved. The improved ellipsoid model was incorporated into the curvature change tracking program. The developed program will be used to evaluate the structural stability of the main reflector based on periodic curvature calculations, which can also be used as fundamental data for repair and reinforcement work in the future.

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Section: Introductionmentioning

confidence: 99%

Application of Optimal Ellipsoid Fitting for Curvature Change Tracking in Main Reflector of Complex Antenna Structures

Kim¹,

Hong²

2019

Sensors and Materials

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“…Many image features between a sharp change to rounded or blunted corners are commonly underutilized in computer vision [17] since…”

Section: Introductionmentioning

confidence: 99%

Augmenting Corner Descriptors

Rosin

1996

Graphical Models and Image Processing

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more typically rounded, blunted, blurred, ragged, textured, etc. Some of these attributes are listed and described in A failing of many gray-level corner detectors is that they do not extract most of the attributes of a corner apart from its more detail below. In particular, cornerity is usually destrength. This paper provides several postprocessing techniques rived from a subset of the following properties:for determining additional corner attributes (i.e., color, orientation, subtended angle, and contrast). Corner matching processes• Position-location of the corner. For round corners can use this additional information to resolve otherwise ambigu-the two edges of the corner can be extrapolated and the ous correspondences and to eliminate corners whose attributes position defined by their intersection. Alternatively, the do not match certain criteria.

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Ellipse fitting by accumulating five-point fits

Rosin

1993

Pattern Recognition Letters

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Acquiring information from cues

Cited by 4 publications

References 12 publications

Application of Optimal Ellipsoid Fitting for Curvature Change Tracking in Main Reflector of Complex Antenna Structures

Application of Optimal Ellipsoid Fitting for Curvature Change Tracking in Main Reflector of Complex Antenna Structures

Augmenting Corner Descriptors

Ellipse fitting by accumulating five-point fits

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