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There are many approaches being proposed to find the correspondence points between two images. They generally perform when used to find the correspondences between two images of the same object, such as in a video sequence or in a stereo camera. However, they fail if the number of true matches between two images was small compared to all the potential correspondence points found, which could happen...
Segmentation of images plays a significant role in image processing. For evaluating the quality of segmentation, several methods based on different approaches have been proposed. The essential question, therefore, arises how the quality of these evaluation methods can be compared. In this paper, we evaluate the quality of some published methods using a new methodology. We also present the results...
LED (Light Emitting Diode) based spectral imaging is advantageous for its fast computer controlled switching ability, availability of many different types of LEDs and cost effectiveness. It has been used in some applications like biometrics and arts, however, it has not been explored in film scanning. Here in this paper, we have proposed a LED based spectral film scanner that allows acquiring spectral...
Barcode detection is required in a wide range of real-life applications. Imaging conditions and techniques vary considerably and each application has its own requirements for detection speed and accuracy. In our earlier works we built barcode detectors using morphological operations and uniform partitioning with several approaches and showed their behaviour on a set of test images. In this work, we...
We present a consistent model for artistic medium reproduction in 3D scene renderings and animations. Computer generated stylized animations should reproduce the medium used by the artists while avoiding the artifacts present in hand-drawn animations. In our model, for each scene object, we create a surface grain according to the object geometry and apply it as additional material properties. Our...
In this paper, we deal with the problem of reflectance recovery from multispectral camera output using Support Vector Regression (SVR). As standard, SVR is unidimensional, the spectral reflectance recovery requires a multi-dimensional output. We propose two ways of adaptation: the transformation of the dataset (camera output) to a scalar-valued composite data model on the one hand, and the adaptation...
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