Superficially, its pretty logical to compare the eye to a camera. We can measure the front-to-back length of the eye (about 25mm from the cornea to the retina), and the diameter of the pupil (2mm contracted, 7 to 8 mm dilated) and calculate lens-like numbers from those measurements. ...
Vilasecaa. 2004. Comparison between the number of discernible colors in a digital camera and the human eye. Proc. European Conf. Colour Graphics, Imaging and Vision (CGIV), 36‐40....
outside the eye, the retina is said to be projected into space, and the field of vision is thus theprojectionof the retina through the nodal point. It will be seen that the geometrical relationship between objects and retinal stimuli is reversed; in the retinacis to the right ofd, and ...
SizePairs: Achieving Stable and Balanced Temporal Treemaps using Hierarchical Size-based Paring Chang Han, Jaemin Jo, Anyi Li, Bongshin Lee, Oliver Deussen, Yunhai Wang IEEE Transactions on Visualization and Computer Graphics (VIS 2022) | February 2023 Publication Investigating In-Situ Personal...
In the center image, viewed at −5°, the optical axes of the eye and camera are nearly aligned in the horizontal plane. The points shown correspond to the vitreous chamber (white), visible iris border (blue), entrance pupil border points and fitted ellipse (green), front corneal surface...
Because our 3D models do not have pupils, the pupil center is specified as the midway point between the left and right corners of the eye. Once scaled, the 3D model is reposed into a neutral, upright pose, from which the person’s height is measured as the distance from the top of ...
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Accommodation in human eye models:a comparison between the optical designs of Navarro,Arizona and Liou-Brennan Accommodation in human eye models: A comparison between the optical designs of Navarro, Arizona and Liou-Brennan International Journal of Ophthalmology 10(1)... - 《International Journal of...
the subject will be looking directly toward the camera any time they are making eye contact with the interactive partner, facilitating automatic detection of those looks toward the camera using computer vision methods. In our approach, the subject is completely unencumbered and the burden on the int...
Acquired 3D face data cannot be directly used as the inputs of feature extraction algorithms because the data contain the human faces, but also many distracting features such as hair, ear, neck, eye glasses, and jeweleries. It is true that when us human beings identify each other, these fe...