Minho Lee - Academia.edu (original) (raw)

Papers by Minho Lee

Research paper thumbnail of A Complementary MetalOxideSemiconductor Vision Chip for Edge and Motion Detection with a Function for Output Offset Cancellation

Optical Review, 2005

We have designed and fabricated a complementary metal-oxide-semiconductor (CMOS) vision chip by m... more We have designed and fabricated a complementary metal-oxide-semiconductor (CMOS) vision chip by modeling cells of the human retina as hardware that are involved in edge and motion detection. There are several fluctuation factors which affect the characteristics of metal-oxide-semiconductor field effect transistors (MOSFETs) through the CMOS fabrication process and this effect appears as the output offset of the vision chip, which is composed of pixel arrays and readout circuits. The vision chip which detects edge and motion information from an input image is used for the input stage of other systems. Therefore, the output offset of the vision chip determines the efficiency of the entire system. In order to eliminate the offset at the output stage, we designed a vision chip utilizing the correlated double sampling (CDS) technique. The chip has been fabricated using a 0.6 μm standard CMOS process. With reliable output characteristics, this chip can be used at the input stage for various applications. © 2005 The Optical Society of Japan

Research paper thumbnail of A Low Power Analog CMOS Vision Chip for Edge Detection Using Electronic Switches

Etri Journal, 2005

An analog CMOS vision chip for edge detection with power consumption below 20 mW was designed by ... more An analog CMOS vision chip for edge detection with power consumption below 20 mW was designed by adopting electronic switches. An electronic switch separates the edge detection circuit into two parts: one is a logarithmic compression photocircuit, and the other is a signal processing circuit for edge detection. The electronic switch controls the connection between the two circuits. When the electronic switch is off, it can intercept the current flow through the signal processing circuit and restrict the magnitude of the current flow below several hundred nA. The estimated power consumption of the chip, with 128 × 128 pixels, was below 20 mW. The vision chip was designed using 0.25 µm 1-poly 5-metal standard full custom CMOS process technology.

Research paper thumbnail of Biologically Inspired Saliency Map Model for Bottom-up Visual Attention

In this paper, we propose a new saliency map model to find a selective attention region in a stat... more In this paper, we propose a new saliency map model to find a selective attention region in a static color image for human-like fast scene analysis. We consider the roles of cells in our visual receptor for edge detection and cone opponency, and also reflect the roles of the lateral geniculate nucleus to find a symmetrical property of an interesting object such as shape and pattern. Also, independent component analysis (ICA) is used to find a filter that can generate a salient region from feature maps constructed by edge, color opponency and symmetry information, which models the role of redundancy reduction in the visual cortex. Computer experimental results show that the proposed model successfully generates the plausible sequence of salient region.

Research paper thumbnail of Implementation of Visual Attention System Using Bottom-up Saliency Map Model

We propose a new active vision system that mimics human-like bottom-up visual attention using sal... more We propose a new active vision system that mimics human-like bottom-up visual attention using saliency map model based on independent component analysis. We consider the feature bases reflecting the biological features and psychological effect to construct the saliency map model, and the independent component analysis is used for integration of the feature bases to implement human-like visual attention system. Using

Research paper thumbnail of ISFET glucose sensor system with fast recovery characteristics by employing electrolysis

Sensors and Actuators B-chemical, 2002

The long recovery-time involved with an ion-sensitive field-effect transistor (ISFET)-based gluco... more The long recovery-time involved with an ion-sensitive field-effect transistor (ISFET)-based glucose sensor, in relation to long-term monitoring is one of the main problems preventing widespread commercialization. Accordingly, this paper proposes a new ISFET glucose sensor system with rapid recovery characteristics by an electrolysis method. In addition, since practical application requires a detailed understanding of the influence of electrolysis, the current

Research paper thumbnail of Biologically motivated vergence control system using human-like selective attention model

Neurocomputing, 2006

We propose a new human-like vergence control method for an active stereo vision system. The propo... more We propose a new human-like vergence control method for an active stereo vision system. The proposed system uses a selective attention model to localize an interesting area in each camera. The selected object area in the master camera is compared with that in the slave camera to identify whether the two cameras find a same landmark. If the left and right cameras successfully find a same landmark, the implemented active vision system with two cameras focuses on the landmark. Using the motor encoder information, we can detect depth information automatically. Computer simulation and experimental results show that the proposed vergence control method is very effective in implementing the human-like active stereo vision system. r

Research paper thumbnail of Biologically Motivated Visual Attention System Using Bottom-up Saliency Map and Top-down Inhibition

In this paper, we propose a trainable selective attention model that can inhibit an unwanted sali... more In this paper, we propose a trainable selective attention model that can inhibit an unwanted salient area and only focus on an interesting area in a static natural scene. The proposed model was implemented by the bottom-up saliency map model in conjunction with the modified adaptive resonance theory (ART) network model. The bottom-up saliency map model generates a salient area based on intensity, edge, color, and symmetry feature maps, and a human supervisor decides whether the selected salient area is important. If the selected area is not interesting, the ART network trains and memorizes that area, and also generates an inhibit signal so that the bottom-up saliency map model does not pay attention to an area with similar characteristic in subsequent visual search process. Computer simulation results show that the proposed model successfully generates a plausible sequence of salient regions that does not include unwanted areas. His research interests include active vision systems based on human eye movements, selective attention, independent component analysis, active noise control, and intelligent sensor systems. (Home page: http://abr.knu.ac.kr)

Research paper thumbnail of A Complementary MetalOxideSemiconductor Vision Chip for Edge and Motion Detection with a Function for Output Offset Cancellation

Optical Review, 2005

We have designed and fabricated a complementary metal-oxide-semiconductor (CMOS) vision chip by m... more We have designed and fabricated a complementary metal-oxide-semiconductor (CMOS) vision chip by modeling cells of the human retina as hardware that are involved in edge and motion detection. There are several fluctuation factors which affect the characteristics of metal-oxide-semiconductor field effect transistors (MOSFETs) through the CMOS fabrication process and this effect appears as the output offset of the vision chip, which is composed of pixel arrays and readout circuits. The vision chip which detects edge and motion information from an input image is used for the input stage of other systems. Therefore, the output offset of the vision chip determines the efficiency of the entire system. In order to eliminate the offset at the output stage, we designed a vision chip utilizing the correlated double sampling (CDS) technique. The chip has been fabricated using a 0.6 μm standard CMOS process. With reliable output characteristics, this chip can be used at the input stage for various applications. © 2005 The Optical Society of Japan

Research paper thumbnail of A Low Power Analog CMOS Vision Chip for Edge Detection Using Electronic Switches

Etri Journal, 2005

An analog CMOS vision chip for edge detection with power consumption below 20 mW was designed by ... more An analog CMOS vision chip for edge detection with power consumption below 20 mW was designed by adopting electronic switches. An electronic switch separates the edge detection circuit into two parts: one is a logarithmic compression photocircuit, and the other is a signal processing circuit for edge detection. The electronic switch controls the connection between the two circuits. When the electronic switch is off, it can intercept the current flow through the signal processing circuit and restrict the magnitude of the current flow below several hundred nA. The estimated power consumption of the chip, with 128 × 128 pixels, was below 20 mW. The vision chip was designed using 0.25 µm 1-poly 5-metal standard full custom CMOS process technology.

Research paper thumbnail of Biologically Inspired Saliency Map Model for Bottom-up Visual Attention

In this paper, we propose a new saliency map model to find a selective attention region in a stat... more In this paper, we propose a new saliency map model to find a selective attention region in a static color image for human-like fast scene analysis. We consider the roles of cells in our visual receptor for edge detection and cone opponency, and also reflect the roles of the lateral geniculate nucleus to find a symmetrical property of an interesting object such as shape and pattern. Also, independent component analysis (ICA) is used to find a filter that can generate a salient region from feature maps constructed by edge, color opponency and symmetry information, which models the role of redundancy reduction in the visual cortex. Computer experimental results show that the proposed model successfully generates the plausible sequence of salient region.

Research paper thumbnail of Implementation of Visual Attention System Using Bottom-up Saliency Map Model

We propose a new active vision system that mimics human-like bottom-up visual attention using sal... more We propose a new active vision system that mimics human-like bottom-up visual attention using saliency map model based on independent component analysis. We consider the feature bases reflecting the biological features and psychological effect to construct the saliency map model, and the independent component analysis is used for integration of the feature bases to implement human-like visual attention system. Using

Research paper thumbnail of ISFET glucose sensor system with fast recovery characteristics by employing electrolysis

Sensors and Actuators B-chemical, 2002

The long recovery-time involved with an ion-sensitive field-effect transistor (ISFET)-based gluco... more The long recovery-time involved with an ion-sensitive field-effect transistor (ISFET)-based glucose sensor, in relation to long-term monitoring is one of the main problems preventing widespread commercialization. Accordingly, this paper proposes a new ISFET glucose sensor system with rapid recovery characteristics by an electrolysis method. In addition, since practical application requires a detailed understanding of the influence of electrolysis, the current

Research paper thumbnail of Biologically motivated vergence control system using human-like selective attention model

Neurocomputing, 2006

We propose a new human-like vergence control method for an active stereo vision system. The propo... more We propose a new human-like vergence control method for an active stereo vision system. The proposed system uses a selective attention model to localize an interesting area in each camera. The selected object area in the master camera is compared with that in the slave camera to identify whether the two cameras find a same landmark. If the left and right cameras successfully find a same landmark, the implemented active vision system with two cameras focuses on the landmark. Using the motor encoder information, we can detect depth information automatically. Computer simulation and experimental results show that the proposed vergence control method is very effective in implementing the human-like active stereo vision system. r

Research paper thumbnail of Biologically Motivated Visual Attention System Using Bottom-up Saliency Map and Top-down Inhibition

In this paper, we propose a trainable selective attention model that can inhibit an unwanted sali... more In this paper, we propose a trainable selective attention model that can inhibit an unwanted salient area and only focus on an interesting area in a static natural scene. The proposed model was implemented by the bottom-up saliency map model in conjunction with the modified adaptive resonance theory (ART) network model. The bottom-up saliency map model generates a salient area based on intensity, edge, color, and symmetry feature maps, and a human supervisor decides whether the selected salient area is important. If the selected area is not interesting, the ART network trains and memorizes that area, and also generates an inhibit signal so that the bottom-up saliency map model does not pay attention to an area with similar characteristic in subsequent visual search process. Computer simulation results show that the proposed model successfully generates a plausible sequence of salient regions that does not include unwanted areas. His research interests include active vision systems based on human eye movements, selective attention, independent component analysis, active noise control, and intelligent sensor systems. (Home page: http://abr.knu.ac.kr)