Automatically available photographer robot for controlling composition and taking pictures
ABSTRACT Recent advances made in IT technology has given much impetus to the development of multimedia devices. The digital camera is such a multimedia device. It has made much progress and become very popular, as most people now own a digital camera or cell phone with camera features. People often take photographs in everyday life. Professional photographers often take photographs of travel destinations, banquet halls or parties. In this paper, we propose an autonomous robot photographer capable of taking pictures and thus replacing photographers. This photographer robot can detect direction based on the human voice. It can control composition based on skin color detection to snap the picture.
Conference Paper: Embedded Robot Operating Systems for Human-Robot Interaction.[Show abstract] [Hide abstract]
ABSTRACT: This paper focuses on the framework of the interface program that contains the controls and communication architectures to realize embedded robot operating systems for multi sensor system. The application builds the embedded operating system by using Mid Level Functions Layer for the robot’s peripherals, and deploying a Low Level Functions Layer. The research proposes a hierarchical architecture for the user interface in order to realize an effective control command and status menu using an embedded sensor interface board. The operating system contained by an Ultrasonic and a Position sensing detector (PSD) and the operation of the Embedded Robot Operating System is implementation by Follow-Wall function. The proposed interface architecture gives easy and intuitive control of interaction with the robot and can be easily build to user interface program with multi sensor system.Computer-Human Interaction, 8th Asia-Pacific Conference, APCHI 2008, Seoul, Korea, July 6-9, 2008, Proceedings; 01/2008
Conference Paper: Dual hand extraction using skin color and stereo information[Show abstract] [Hide abstract]
ABSTRACT: Extracting the positions of hands is an important step in human computer interaction and robot vision applications. Posture and gesture can be extracted from hand positions and the appropriate task can be performed. In this paper, we propose an approach to extract hand images using skin color and stereo information. Our method does not require clear hand-size or high-quality disparity. With a sound training database and an adequate working environment, we obtain nearly 100 percent accuracy. The run time, ignoring calculation of disparity generation time, is also acceptable.Robotics and Biomimetics, 2008. ROBIO 2008. IEEE International Conference on; 03/2009
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ABSTRACT: At the time of image acquisition, professional photographers apply many rules of thumb to improve the composition of their photographs. This paper develops a joint optical-digital processing framework for automating composition rules during image acquisition for photographs with one main subject. Within the framework, we automate three photographic composition rules: repositioning the main subject, making the main subject more prominent, and making objects that merge with the main subject less prominent. The idea is to provide to the user alternate pictures obtained by applying photographic composition rules in addition to the original picture taken by the user. The proposed algorithms do not depend on prior knowledge of the indoor/outdoor setting or scene content. The proposed algorithms are also designed to be amenable to software implementation on fixed-point programmable digital signal processors available in digital still cameras.IEEE Transactions on Image Processing 08/2007; 16(7):1807-20. · 3.11 Impact Factor