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Motion estimation in detail is required by many vision applications. Conventional method such as optical flow method is often used to calculate the motion between two image frames. Color based constraint such as the assumption of brightness constancy underlies most optical flow estimation methods. However, it is impossible to calculate precise optical flows from only color value, since changing view...
Optical joint transform correlation (JTC) technique has been proposed to be an efficient pattern recognition system. Color pattern recognition techniques utilize color of the target objects as additional feature to the spatial characteristics. A new optical JTC technique is developed for color pattern recognition employing the same reference image but with four different amounts of phase shift. A...
For improving accuracy of optical flow computation, we propose a new method to compute optical flow from both gray and color information. First, the Gauss filter is used to pre-filter the color image sequence. Then optical flow recovery is based on the method of neighborhood least squares using brightness information. And the weight coefficients of local neighborhood are determined by U and V channels...
It is a problem that the results are unstable when local method is used to estimate optical flow at smooth color points. A method was presented to estimate stability through the condition number of local coefficients matrix. And the color results of global smooth were used to replace the unstable results of local color method. The combined model was provided with the advantages of high precision of...
This paper describes a method for spectral image acquisition and analysis of omnidirectional scene. A multi-band omnidirectional imaging system with high spatial resolution is proposed in a simple system. This system consists of an RGB trichromatic digital camera, a fisheye lens, and two color filters of commercial use. First, we describe the practical spectral imaging system and analyze the spatial...
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