An advanced vision sensor with fovea

Suematsu, Yoshikazu; Hayase, Taichi

doi:10.1109/iecon.1990.149206

Cited by 11 publications

(5 citation statements)

References 3 publications

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“…[8][9][10] McCarley et al 4 take a different direction and develop an on-chip binning method that allows one to transmit regions of the image at the full sampling rate of the detector array while binning pixels outside these regions into larger "super-pixels" for lower resolution. The first attempt to perform foveation with optical components appears to be Suematsu et al, 11 where the authors use a door peephole lens together with distortion-correction software to obtain foveated images. The authors later designed a higher performance lens to achieve similar distortion characteristics over a larger image.…”

Section: Introductionmentioning

confidence: 99%

Foveated endoscopic lens

Hagen

Tkaczyk

2012

J. Biomed. Opt.

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Abstract. We present a foveated miniature endoscopic lens implemented by amplifying the optical distortion of the lens. The resulting system provides a high-resolution region in the central field of view and low resolution in the outer fields, such that a standard imaging fiber bundle can provide both the high resolution needed to determine tissue health and the wide field of view needed to determine the location within the inspected organ. Our proof of concept device achieves 7 ∼ 8 μm resolution in the fovea and an overall field of view of 4.6 mm. Example images and videos show the foveated lens' capabilities.

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Section: Introductionmentioning

confidence: 99%

Foveated endoscopic lens

Hagen

Tkaczyk

2012

J. Biomed. Opt.

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“…The characteristic of foveal vision is that the pixel density is high near the fovea and becomes lower toward the periphery. Various vision systems using CCD elements have been proposed in order to realize this type of vision [1][2][3][4]. When movement of an object is sensed at the periphery of the view field, the line of sight is instantaneously directed by reflex toward that moving object.…”

Section: Introductionmentioning

confidence: 99%

Eye movement based on 3D image of short‐term memory

Morita

Oosaki

Ishihara

2003

Electron Comm Jpn Pt II

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SUMMARYHumans perceive a wide range of space by moving their eyes quickly with an essentially narrow view field, but there is no feeling that the viewpoint is moved quickly. This phenomenon is interpreted as follows. Even though the image of the gaze point moves greatly, the image stored in short-term memory does not change much. Consequently, this paper proposes a model in which the gaze point can be moved over a wide range by moving the gaze point based on a 3D image stored in short-term memory. A method is also proposed which generates a 3D image that looks like a human view, using both eyes. Based on the features of the 3D image in short-term memory, movement of the gaze point over a wide range is actually realized. Movement of the gaze point by both eyes based on the 3D image in short-term memory is simulated in a virtual world constructed by CG.

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“…The pixel distribution density of human vision is higher near the fovea and becomes lower toward the periphery. In order to realize such a fovea vision, various CCD elements have been developed [4][5][6][7]. This paper intends to realize human eye movement when the human vision is simulated and the optical flow is calculated from the fovea vision.…”

Section: Introductionmentioning

confidence: 99%

Eye movement based on short‐term memory optical flow image

Morita

Ishihara

2002

Systems & Computers in Japan

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SUMMARYThe pixel distribution density of human vision is higher near the fovea, becoming lower toward the periphery. It is also reported that the optical flow has an important role in understanding the surrounding situation. This paper proposes the eye movement model based on fovea vision, short-term memory of the optical flow, and parallel execution of the tasks. In the realization of the eye movement while driving in an environment where there are few vehicles, both the narrow-range eye movement to shift the viewpoint to the next edge along the road, and the widerange eye movement to understand the environmental situation, must be realized. In order to adjust the range of eye movement according to the task, short-term memory depending on the task is considered. It is shown that a wide range of view field can be realized, by using the short-term memory image, which is generated based on the low-level features derived from the optical flow. The eye movement while driving in a situation where there are few vehicles is actually simulated in a simple way, and the usefulness of the proposed model is demonstrated.

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An advanced vision sensor with fovea

Cited by 11 publications

References 3 publications

Foveated endoscopic lens

Foveated endoscopic lens

Eye movement based on 3D image of short‐term memory

Eye movement based on short‐term memory optical flow image

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