Wang-Heon Lee

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Edge detection is one of the most commonly used operations in image analysis and digital image processing. Edge detection technique has a key role in machine vision and image understanding systems. In machine vision motion track and measurement system based on discrete feature, the exact feature edge orientation in the image is the precondition of the(More)
This paper presents a novel computational model of 3D object recognition based on human visual system. Conventional schemes have feed forward structure based on the bottom-up process of human vision. However, psychological and physiological evidence suggests that top-down process and feature binding by visual attention are also important. So, we propose a(More)
We present a simple artificial landmark model and a robust tracking algorithm for the navigation of indoor mobile robots. The landmark model is designed to have a three-dimensional structure consisting of a multicolored planar pattern. A stochastic algorithm based on Condensation [1] tracks the landmark model robustly using the color distribution of the(More)
In this paper, we propose two new vision-based methods for irzdooimobile robot navigation. One is a selflocalization algorithm using projective invariant and the other is a method for obstacle detection by simple image difference and relative positioning. Foia geometric model of corridor erzvironnaent, we use natural features formed by floor, walls, and(More)
In this paper, we propose a visual-based self-localization algorithm of an indoor mobile robot. The algorithm does not require calibration and can be worked with only a single image by using the projective invariant relationship between natural landmarks. The position of the robot is determined by relative positioning. Also, the method does not require(More)
This paper presents a combined model-based 3D object recognition method motivated by the robust properties of human vision. The human visual system (HVS) is very efficient and robust in identifying and grabbing objects, in part because of its properties of visual attention, contrast mechanism, feature binding, multiresolution and part-based representation.(More)