Fundamentals of Spatial Vision
نویسنده
چکیده
The adult human eye is aproximately 25mm in diameter and weighs about 7g. The anterior section of the eye contains the eye's optical system whose major structures are the cornea, lens, and iris. The cornea provides about two-thirds of the eye's refractive power, but the lens provides ne focus for targets at distances from 20 feet down to about 4 inches (Pugh88). The ciliary muscles attached to edge of the lens e ect focusing by changing the len's shape. The space between the lens and the cornea is lled with a uid known as the aqueous humor. The iris sits just in front of the lens and has a central aperture known as the pupil that admits light to the eye. The central cavity of the eyeball is lled with a uid called the vitreous humor. The posterior section of the eyeball contains its neural structures. This section is composed of three layers. The sclera is a tough covering that protects the interior from damage and helps to maintain the eye's shape. The choroid is a middle layer that provides the blood supply to the eye's internal structures. The retina is the innermost layer that contains light sensitive photoreceptors and associated neural tissue. About 4% of the light incident on the eye is absorbed or re ected by the cornea. Absorption or scattering by the internal structures of the eye means that only about 50% of the light coming to the eye actually reaches the photosensitive retinal surface.
منابع مشابه
Spatial imaging in color and HDR: prometheus unchained
The Human Vision and Electronic Imaging Conferences (HVEI) at the IS&T/SPIE Electronic Imaging meetings have brought together research in the fundamentals of both vision and digital technology. This conference has incorporated many color disciplines that have contributed to the theory and practice of today's imaging: color constancy, models of vision, digital output, high-dynamic-range imaging,...
متن کاملRobot Motion Vision Pait I: Theory
A direct method called fixation is introduced for solving the general motion vision problem, arbitrary motion relative to an arbitrary environment. This method results in a linear constraint equation which explicitly expresses the rotational velocity in terms of the translational velocity. The combination of this constraint equation with the Brightness-Change Constraint Equation solves the gene...
متن کاملSecond-Order Statistical Texture Representation of Asphalt Pavement Distress Images Based on Local Binary Pattern in Spatial and Wavelet Domain
Assessment of pavement distresses is one of the important parts of pavement management systems to adopt the most effective road maintenance strategy. In the last decade, extensive studies have been done to develop automated systems for pavement distress processing based on machine vision techniques. One of the most important structural components of computer vision is the feature extraction met...
متن کاملSpectral sensitivities of the human cones.
Transient chromatic adaptation produced by an abrupt change of background color permits an easier and closer approach to cone isolation than does steady-state adaptation. Using this technique, we measured middle-wave-sensitive (M)-cone spectral sensitivities in 11 normals and 2 protanopes and long-wavelength-sensitive (L-) cone spectral sensitivities in 12 normals and 4 deuteranopes. Although t...
متن کاملEstimating individual cone fundamentals from their color-matching functions.
Estimation of individual spectral cone fundamentals from color-matching functions is a classical and longstanding problem in color science. In this paper we propose a novel method to carry out this estimation based on a linear optimization technique, employing an assumption of a priori knowledge of the retinal absorptance functions. The result is an estimation of the combined lenticular and mac...
متن کاملFundamentals of Texture Processing for Biomedical Image Analysis A General Definition and Problem Formulation
This chapter aims to provide an overview of the foundations of texture processing for biomedical image analysis. Its purpose is to define precisely what biomedical texture is, how is it different from general texture information considered in computer vision, and what is the general problem formulation to translate 2D and 3D textured patterns from biomedical images to visually and biologically ...
متن کامل