Determination of Three-Dimensional Object Location and Orientation from Range Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Visual Computer: International Journal of Computer Graphics
New methods for surface reconstruction from range images
New methods for surface reconstruction from range images
Geometric Camera Calibration Using Circular Control Points
IEEE Transactions on Pattern Analysis and Machine Intelligence
Numerical Methods for Chemical Engineers with MATLAB Applications with Cdrom
Numerical Methods for Chemical Engineers with MATLAB Applications with Cdrom
Digital Image Processing
Data fusion through fuzzy reasoning applied to feature extraction from multisensory images
Data fusion through fuzzy reasoning applied to feature extraction from multisensory images
Transformation image into graphics
Integrated image and graphics technologies
The correspondence framework for 3D surface matching algorithms
Computer Vision and Image Understanding
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This paper presents feature level fusion of images of an object obtained from two different imaging techniques. A draft 3-D view of the object is generated by registering range images obtained from scanning the object by a laser beam. For that purpose, the method of optical triangulation is employed for data acquisition and feature matching technique for the registration of the images. Triangle-based linear interpolation is used to obtain a 3-D mesh representing the object surface. Structural features are extracted from the draft 3-D model of the object and subsequently mapped to 2-D plane by perspective transformation. Hough transform technique has been implemented for the extraction of structural features from the intensity image of the object obtained under illumination light. Fusion of both the extracted edge maps is accomplished by affine transformation after identifying a set of control points. This provides a high-level description of the object.