• The Korean Journal of Zoology
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• v.33 no.3
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• pp.247-254
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• 1990

Chicken monocular head and eye optokinetic nystagmus (OKN) were observed by coil recordings after intravitreal administration of GABA antagonists (picrotoxin and bicuculline) into the opened and closed eye. Before injection of drugs the chicken displayed an OKN for T-N stimulation being more efficient in evoking this visuomotor reflex than for N-T stimulation. The injection of GABA antagonist into the opened eye provoked a decrease or disappearance of the head and eye OKN. On the other hand, the injection of GABA antagonist into the closed eye, the head and eye OKN augmented. Thus, GABA antagonist abolished the directional asymmetry of the head and eye OKN, indicating the involvement of GABAergic mechanisms in the inhibition of the N-T component of the monocular OKN.

• Journal of Korean Ophthalmic Optics Society
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• v.14 no.3
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• pp.51-57
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• 2009

Purpose: The purpose of this study was to determine if monocular and binocular accommodative facility tests would be useful in diagnosing general binocular dysfunctions. Methods: 95 symptomatic children, who were selected from comprehensive vision tests, were classified into four groups (29 subjects with accommodative dysfunctions, 28 subjects with vergence dysfunctions, 25 subjects with combined accommodative and vergence dysfunctions, 13 subjects with normal binocular functions). Monocular and binocular accommodative facility was measured with ${\pm}$2.00 D flipper lenses. Results: Statistical analysis revealed that binocular accommodative facility measurement was significantly lower than monocular accommodative measurement in the vergence dysfunction group (p<0.01). However, there were no differences between monocular and binocular accommodative facility measurements in the group of accommodative or combined accommodative and vergence dysfunction (p>0.05). In addition, subjects with general binocular dysfunctions performed significantly poorer than subjects with normal binocular function on monocular and binocular accommodative facility (p<0.000). Conclusions: As a result of this study, monocular and binocular accommodative facility test, which could differentiate dysfunction from normal as well as between dysfunctions, indicated useful means for diagnosis of general binocular dysfunctions.

• Journal of Auto-vehicle Safety Association
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• v.12 no.3
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• pp.43-51
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• 2020

Currently, the second level of the six stages of self-driving technology, as defined by SAE, is commercialized, and the third level is preparing for commercialization. The purpose of ACC is to be evaluated as a system useful for preventing and preventing accidents by minimizing driver fatigue through longitudinal speed control and relative distance control of the vehicle. In this regard, for the study of safety assessment methods in the practical environment of ACC. Distance measurement method using monocular camera and data acquisition equipment such as DGPS are utilized. Based on the evaluation scenario considering the domestic road environment proposed by the preceding study, the relative distance obtained from equipment such as DPGS and the relative distance using a monocular camera in the actual test is verified by comparing and analyzing the safety assessment. The comparison by scenario results showed a minimum error rate of 3.83% in Scenario 1 and a maximum of 14.61% in Scenario 6. The cause of the maximum error is that the lane recognition is not accurate in the camera image and irregular operation conditions such as rushing in or exiting the surrounding area from the walkway. It is expected that safety evaluation using a monocular camera will be possible for other ADAS systems in the future.

• 한국정보디스플레이학회:학술대회논문집
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• 2009.10a
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• pp.1334-1337
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• 2009

The human vision system has visual functions for viewing 3D images with a correct depth. These functions are called accommodation, vergence and binocular stereopsis. Most 3D display system utilizes binocular stereopsis. The authors have developed a monocular 3D vision system with accommodation mechanism, which is useful function for perceiving depth.

• Proceedings of the KIEE Conference
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• 2005.10b
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• pp.625-627
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• 2005

Existent distance measurement that use camera is method that use both Stereo Camera and Monocular Camera, There is shortcoming that method that use Stereo Camera is sensitive in effect of a lot of expenses and environment variables, and method that use Monocular Camera are big computational complexity and error. In this study, reduce expense and error using Monocular Camera and I suggest algorithm that measure distance, Extract features using scale Invariant features Transform(SIFT) for distance measurement, and this measures distance through features matching and geometrical analysis, Proposed method proves measuring distance with wall by geometrical analysis free wall through feature point abstraction and matching.

• International Journal of Control, Automation, and Systems
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• v.6 no.1
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• pp.62-75
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• 2008

Vision-based simultaneous localization and map building using a single camera, while compelling in theory, have not until recently been considered extensive in the practical realm of the real world. In this paper, we propose a simple framework for the monocular SLAM of an indoor mobile robot using natural line features. Our focus in this paper is on presenting a novel approach for modeling the landmark before integration in monocular SLAM. We also discuss data association improvement in a particle filter approach by using the feature management scheme. In addition, we take constraints between features in the environment into account for reducing estimated errors and thereby improve performance. Our experimental results demonstrate the feasibility of the proposed SLAM algorithm in real-time.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.345-352
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• 2013

In this paper, a depth estimate method is proposed using GPU(Graphics Processing Unit) in monocular image. a monocular image is a 2D image with missing 3D depth information due to the camera projection and we used a monocular cue to recover the lost depth information by the projection present. The proposed algorithm uses an energy function which takes a variety of cues to create a more generalized and reliable depth map. But, a processing time is late because energy function is defined from the various monocular cues. Therefore, we propose a depth estimate method using GPGPU(General Purpose Graphics Processing Unit). The objective effectiveness of the algorithm is shown using PSNR(Peak Signal to Noise Ratio), a processing time is decrease by 61.22%.

• Journal of Korean Ophthalmic Optics Society
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• v.10 no.1
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• pp.41-46
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• 2005

The aim of the study was performed the wave analysis of P-VEP on the normal monocular vision and amblyopia in binocular. The P-VEP of three channels were recorded by the Nicolet system. Five adults (three males, two females, mean=22 years, range=19 to 24) subjects were recorded The subjects were researched the history including the systemic health, medication, genetics, allergy and ocular disease. Visual acuity and stereopsis were recorded for each subject monocularly and binocularly. Also subjects viewed the P-VEP stimulus both monocularly and binocularly through the corrected visual acuity during the VEP were recorded. The results of study suggest that the visual acuity of binocularly is better than with monocularly and the stereopsis was about over 140 sec. On the other hand, the analysis of P-VEP suggest that the amplitude of wave is larger when the monocular eye receives the P-VEP stimulus compared with the binocular eye. However the amplitude of wave in amblyopia had more smaller than the normal monocular The latency period of P-VEP was similar to results between the normal eye and binocular vision. But the amblyopia was a long period compared with the normal monocular and binocular vision. In conclusion, this study indicated that the visual acuity of binocularly have a better than the normal monocular vision, But in the P-VEP test, the amplitude of wave on normal monocularly vision appears to be better through the binocularly. But the amblyopia appeared the low amplitude wave of P-VEP and decreased the visual acuity.

• Journal of Institute of Control, Robotics and Systems
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• v.21 no.4
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• pp.367-371
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• 2015

In this paper, a novel localization method for a monocular camera is proposed by using a feature-based probabilistic map. The localization of a camera is generally estimated from 3D-to-2D correspondences between a 3D map and an image plane through the PnP algorithm. In the computer vision communities, an accurate 3D map is generated by optimization using a large number of image dataset for camera pose estimation. In robotics communities, a camera pose is estimated by probabilistic approaches with lack of feature. Thus, it needs an extra system because the camera system cannot estimate a full state of the robot pose. Therefore, we propose an accurate localization method for a monocular camera using a probabilistic approach in the case of an insufficient image dataset without any extra system. In our system, features from a probabilistic map are projected into an image plane using linear approximation. By minimizing Mahalanobis distance between the projected features from the probabilistic map and extracted features from a query image, the accurate pose of the monocular camera is estimated from an initial pose obtained by the PnP algorithm. The proposed algorithm is demonstrated through simulations in a 3D space.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.43 no.4
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• pp.289-295
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• 2015

This paper describes a ground monocular vision-based measurement algorithm measuring relative range and position of aircraft using the information of wingspan and optical parameters for the camera. A technique obtaining an aircraft image is also described in this paper. This technique can be used as external measurement for autonomous landing instead of ILS. To verify the performance of these algorithms, flight experiment is performed using light sport aircraft with GPS and monocular camera. Finally we obtained the reasonable RMSE of 1.85m is obtained.