A real-time visual processing system using a general-purpose vision chip

Kagami, Satoshi; Komuro, Takashi; Ishii, Idaku; Ishikawa, Masatoshi

doi:10.1109/robot.2002.1014711

Cited by 8 publications

(8 citation statements)

References 10 publications

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“…Equation 2 is used for complete lens modeling of in-focus image formation on image sensor. Camera parameters used for modeling of the lens are N cx , N fx , s x , s y , Cx, C y , R x , R y , R z , T x , T y , T z and f [9,[11][12][13][14]. Except rotational, translational and focal length all other physical parameters are fixed.…”

Section: XImentioning

confidence: 99%

Modeling of photo-detectors for the computer vision system

Chavan¹,

Mishra²

2010

J Opt

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The photo-detection is important in all the image sensory system. The choice of photo-detector is of great importance in the dynamic application. The photo-detector on detection of light generates photocurrent which can be further used to evaluate equivalent voltage. This capability of generating voltage decides the quality of the photodetector. This paper does the analysis for the feasibility of the photodiode as the best choice amongst the various photo-detectors for the vision system. A converging lens is the prime constituent at the input of the system. Therefore, this paper has two section one for the modeling the lens and other for modeling and analysis of photo-detectors. In the first section it deals with the modeling of optical parameters. The physical parameters affecting the optical parameters are considered constant. In the second part it deals with the comparative study of the photo-detectors for pixel of image sensor. In this, modeling of the photodiode as photo-detector is done for simulated results and then performance analysis is done.

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Section: XImentioning

confidence: 99%

Modeling of photo-detectors for the computer vision system

Chavan¹,

Mishra²

2010

J Opt

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“…camera parameters [17,18,19,20] which are modeled are Ncx, Nfx, sx, sy, Cx, Cy, Rx, Ry, Rz, Tx, Ty, Tz and f. The flow-chart for the modeling is given in Fig.4. The focusing of the object eqn.…”

Section: Mathematical Model For 3-d Camera Focusingmentioning

confidence: 99%

Lens modeling for computer vision system

Chavan¹,

Mishra²

2009

J Opt

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Lens is important component of any imaging or visual system; when light falls on any object partly it is reflected and partly transmitted (through the object). The imaging system is based on the light refracted through the optical components like lens. In this paper we are discussing refraction for the real time imaging, so as to adjust the focus for the various rays received after the refraction from the live scene through the modeled lens.The purpose of this paper is to model a lens in 3-D without distortion, by adjusting the rotational angles and linear distance by translational motion that the object makes with coordinate axes. In the Part-I the linear distance is modeled mathematically, to understand how the distance affects the focusing. The results from Part-I are used in part-II for 3D progressive focusing. The radial distortion is taken into account as the constant term. The results for the standard deviation, mean and mean squared error for the given set of inputs are tabulated for camera focusing. 39 J Opt 38 (1) : 3847 1 3

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“…In this paper, a general-purpose digital vision chip system we have developed [3] is used. Fig.2 shows a photograph of this vision chip system, which consists of a chip and its controller.…”

Section: Vision Chipmentioning

confidence: 99%

Multi-Target Tracking Using a Vision Chip and its Applications to Real-Time Visual Measurement

Watanabe

Komuro²,

Kagami³

et al. 2005

J. Robot. Mechatron.

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Real-time image processing at high frame rates could play an important role in various visual measurement. Such image processing can be realized by using a high-speed vision system imaging at high frame rates and having appropriate algorithms processed at high speed. We introduce a vision chip for high-speed vision and propose a multi-target tracking algorithm for the vision chip utilizing the unique features. We describe two visual measurement applications, target counting and rotation measurement. Both measurements enable excellent measurement precision and high flexibility because of high-frame-rate visual observation achievable. Experimental results show the advantages of vision chips compared with conventional visual systems.

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A real-time visual processing system using a general-purpose vision chip

Cited by 8 publications

References 10 publications

Modeling of photo-detectors for the computer vision system

Modeling of photo-detectors for the computer vision system

Lens modeling for computer vision system

Multi-Target Tracking Using a Vision Chip and its Applications to Real-Time Visual Measurement

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