Computational projective geometry
CVGIP: Image Understanding
Interactive approach to reconstruction and visualisation of three-dimensional colour images
International Journal of Computer Applications in Technology
Symmetric reconstruction algorithms for incomplete 3D models
International Journal of Computer Applications in Technology
Feature string-based intelligent information retrieval from Tamil document images
International Journal of Computer Applications in Technology
Efficient tracking and ego-motion recovery using gait analysis
Signal Processing
3D reconstruction of specular surfaces using a calibrated projector–camera setup
Machine Vision and Applications
3D Reconstruction of Periodic Motion from a Single View
International Journal of Computer Vision
Vision-based 3D surface motion capture for the DIET breast cancer screening system
International Journal of Computer Applications in Technology
Nonmetric calibration of camera lens distortion: differential methods and robust estimation
IEEE Transactions on Image Processing
Binocular stereo vision system for a humanoid robot
International Journal of Computer Applications in Technology
Automatic measuring system for railroad wheels
International Journal of Computer Applications in Technology
Adaptive method for improvement of human skin detection in colour images
International Journal of Computer Applications in Technology
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3D reconstruction has been recognised as an important cue for tasks like active computer vision and image understanding. However, most existing techniques need to calibrate the intrinsic and extrinsic parameters of the projector, making the calculation very complex. This paper presents an active vision method of multicolour pseudo-random encoded projected for recovering the 3D shape of surface from one calibrated image, based on projection ray intersecting location. This method combines geometric and photometric information in order to reconstruct 3D shape only calibrating camera parameters and projection rays. Based on the thought of ray intersecting location, by projecting pseudo-random coded pattern onto surface of object, using a projected ray of a feature point at projector side, and an imaging ray of the same feature point received by camera, the 3D reconstruction is implemented by seeking the intersection point of the projected ray and the imaging ray. We show a number of examples to demonstrate the accuracy of the method. Experimental results on the real world images show that the proposed method reconstructs the 3D shape of objects very efficiently.