Watcharin Kaewapichai

Prince of Songkla University · Department of Computer Engineering

In this paper, we introduced two case studies to improve Viola-Jones for eye position prediction. The gray scale image was used as testing image for Viola-Jones to predict face, eye, and mouth position from the image. The first case study was a different weight parameter set of RGB image to gray scale image converter (wGr). The introduced weighted...

In this paper, we presents a real-time adaptive background subtraction algorithm working in traffic video monitoring to solve a classic problem of background subtraction “sudden illuminance changing”. We design an illumination feedback kinematics to update a background image. It consists of two main phases, illumination approximation for feedback a...

In this paper, we present a pineapple skin model and a method to fit the model. Our main application of the model is for automatic maturity grading of pineapples in canned pineapple industry. The model consists of two subparts: Phyllotaxis and pineapple scale models. The Phyllotaxis model represents the spiral arrangement of pineapple-scales, which...

This paper presents a machine vision method to inspect the maturity of pineapples that ripe naturally. Unlike previous methods, the proposed technique can be categorized as a real-time non destructive testing (Real-Time NDT) approach. It consists of two phases, learning and recognition phases. In the learning phase, the system constructs a library...

Classical methods to support the visually impaired include using a cane and a guided dog. These methods enable the visually impaired to identify only nearby obstacles. However, they fail to allow them to detect obstacles that are located relatively farther and are mostly visible to normal sighted people. In order to address this problem, we propose...