describe about the morphology of eye with a diagram
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the retina of a human eye is a variable resolution sensor: the distribution of photoreceptors is non-homogeneous. The density of cones, which are used for high acuity vision, is greatest in the center (fovea) (Fig. 4.1.1.1) (e.g., Curcio et al., 1990). Through this morphological arrangement, a limited number of sensing and processing elements can provide both high acuity in the center of the visual field, and a wide field of view. In robots, the retinal morphology can be emulated by the log-polar transformation (e.g., Sandini & Metta, 2002), and the degree of variable resolution can be scaled arbitrarily. Martinez et al. (2010a) investigated this effect in a robot with two eyes performing vergence behavior (simultaneous movement of both eyes in opposite directions to obtain single binocular vision). The sensor morphology as represented by the log-polar transform clearly manifests itself in the information structure calculated on a sequence of images obtained from the robot. A similar phenomenon was observed by Lungarella & Sporns (2006). There, a simulated wheeled robot (but with a human-inspired eye) was driving around colored objects and foveated on them.
Let us start with visual perception. Vision is the key sensory modality for many animals. However, the morphology or "design" of visual sensors varies greatly across species. We will pick a human and an insect eye to illustrate how the sensors are optimized to the particular needs of an animal.
Human eye
The retina of a human eye is a variable resolution sensor: the distribution of photoreceptors is non-homogeneous. The density of cones, which are used for high acuity vision, is greatest in the center . Through this morphological arrangement, a limited number of sensing and processing elements can provide both high acuity in the center of the visual field, and a wide field of view. In robots, the retinal morphology can be emulated by the log-polar transformation (e.g., Sandini & Metta, 2002), and the degree of variable resolution can be scaled arbitrarily. Martinez et al. (2010a) investigated this effect in a robot with two eyes performing vergence behavior (simultaneous movement of both eyes in opposite directions to obtain single binocular vision). The sensor morphology as represented by the log-polar transform clearly manifests itself in the information structure calculated on a sequence of images obtained from the robot. A similar phenomenon was observed by Lungarella & Sporns (2006). There, a simulated wheeled robot (but with a human-inspired eye) was driving around colored objects and foveated on them.
A diagram of a human eye. The density of cones, which are used for high acuity vision, is greatest in the center (fovea).
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