Use of shadows for extracting buildings in aerial images
Computer Vision, Graphics, and Image Processing
Performance Evaluation of Scene Registration and Stereo Matching for Artographic Feature Extraction
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
A fast algorithm for active contours and curvature estimation
CVGIP: Image Understanding
The ascender system: automated site modeling from multiple aerial images
Computer Vision and Image Understanding
Machine Vision and Applications
Detection and Modeling of Buildings from Multiple Aerial Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mustererkennung 1995, 17. DAGM-Symposium
Shape from Contour
Shape partitioning by convexity
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Computational Geometry: Theory and Applications
Computer Vision and Image Understanding
A two-component rectilinearity measure
Computer Vision and Image Understanding
Measuring linearity of planar point sets
Pattern Recognition
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
A rectilinearity measurement for 3d meshes
MIR '08 Proceedings of the 1st ACM international conference on Multimedia information retrieval
A Hu moment invariant as a shape circularity measure
Pattern Recognition
Computer Vision and Image Understanding
Measuring Cubeness of 3D Shapes
CIARP '09 Proceedings of the 14th Iberoamerican Conference on Pattern Recognition: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Measuring the orientability of shapes
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Measuring linearity of ordered point sets
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
International Journal of Computer Vision
Shape elongation from optimal encasing rectangles
Computers & Mathematics with Applications
Measuring Squareness and Orientation of Shapes
Journal of Mathematical Imaging and Vision
On the representation of a digital contour with an unordered point set for visual perception
Journal of Visual Communication and Image Representation
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Tunable cubeness measures for 3D shapes
Pattern Recognition Letters
Measuring linearity of open planar curve segments
Image and Vision Computing
ADR shape descriptor - Distance between shape centroids versus shape diameter
Computer Vision and Image Understanding
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The paper introduces a shape measure intended to describe the extent to which a closed polygon is rectilinear. Other than somewhat obvious measures of rectilinearity (e.g., the sum of the differences of each corner's angle from multiples of 90^\circ), there has been little work in deriving a measure that is straightforward to compute, is invariant under scale, rotation, and translation, and corresponds with the intuitive notion of rectilinear shapes. There are applications in a number of different areas of computer vision and photogrammetry. Rectilinear structures often correspond to human-made objects and are therefore justified as attentional cues for further processing. For instance, in aerial image processing and reconstruction, where building footprints are often rectilinear on the local ground plane, building structures, once recognized as rectilinear, can be matched to corresponding shapes in other views for stereo reconstruction. Perceptual grouping algorithms may seek to complete shapes based on the assumption that the object in question is rectilinear. Using the proposed measure, such systems can verify this assumption.