Selection of image primitives for general-purpose visual processing
Computer Vision, Graphics, and Image Processing - Special issue on human and machine vission, part II
Multidimensional Orientation Estimation with Applications to Texture Analysis and Optical Flow
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Design and Use of Steerable Filters
IEEE Transactions on Pattern Analysis and Machine Intelligence
Distances between frequency features for 3D visual pattern partitioning
Pattern Recognition Letters
Motion representation using composite energy features
Pattern Recognition
Data-driven synthesis of composite-feature detectors for 3D image analysis
Image and Vision Computing
Junction detection and multi-orientation analysis using streamlines
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
Continuous orientation representation for arbitrary dimensions: a generalized knutsson mapping
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Spatio-temporal composite-features for motion analysis and segmentation
ACIVS'06 Proceedings of the 8th international conference on Advanced Concepts For Intelligent Vision Systems
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The orientation space transform is a concept that can deal with multiple oriented structures at a single location. In this paper we extend the orientation space transform to 3D images producing a 5D orientation space (x, y, z, φ, θ). We employ a tunable, orientation selective quadrature filter to detect edges and planes and a separate filter for detecting lines. We propose a multi-resolution sampling grid based on the icosahedron. We also propose a method to visualize the resulting 5D space. The method can be used in many applications like (parametric) curve and plane extraction, texture characterization and curvature estimation.