Three-dimensional object recognition
ACM Computing Surveys (CSUR) - Annals of discrete mathematics, 24
Computational geometry: an introduction
Computational geometry: an introduction
Model-based recognition in robot vision
ACM Computing Surveys (CSUR)
Fundamentals of interactive computer graphics
Fundamentals of interactive computer graphics
Color-Encoded Structured Light for Rapid Active Ranging
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computation of Surface Orientation and Structure of Objects Using Grid Coding
IEEE Transactions on Pattern Analysis and Machine Intelligence
Inference of object surface structure from structured lighting—an overview
Machine Vision: Algorithms, Architectures, and Systems
Representations for Rigid Solids: Theory, Methods, and Systems
ACM Computing Surveys (CSUR)
Representation of Three-Dimensional Digital Images
ACM Computing Surveys (CSUR)
Measurement, orientation determination and recognition of surface shapes in range images
Measurement, orientation determination and recognition of surface shapes in range images
Pose determination of a cylinder using reprojection transformation
Pattern Recognition Letters
3D Photography Using Shadows in Dual-Space Geometry
International Journal of Computer Vision
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A new technique for computing intrinsic surface properties is presented. Intrinsic surface properties are those properties of a surface that are not affected by the choice of the coordinate system, the position of the viewer relative to the surface, and the particular parametric representation used to describe the imaged surface. Since intrinsic properties are characteristics of a surface, they are ideal for the purposes of representation and recognition. The intrinsic properties of interest are the principal curvatures, the Gaussian curvatures, and the lines of curvature. It is proposed that a structured-light sensing configuration where a grid pattern is projected to encode the imaged surfaces for analysis be adopted. At each stripe junction, the curvatures of the projected stripes on the imaged surface are computed and related to those of the normal sections that share the same tangential directional as the projected curves. The principal curvatures and their directions at the stripe junction under consideration are then recovered using Euler's theorem. Results obtained using both synthetic and real images are presented.