Biography
Enrollment Date: 2011
Graduation Date：2014
Degree：M.S.
Defense Date：2014.06.27
Advisors：Xiang Xie
Department：Institute of Microelectronics，Tsinghua University
Title of Dissertation/Thesis：Research on the Key Technology of Imperceptible Structured Light of Projector-Camera System
Abstract:
Human-computer interaction is one of the hot topics in current academic research. In this paper, the research objective is to do some preparation work to design a HCI module, which can be embedded into portable electronic device. The module, which can detect bare-hand gesture or finger- touch operation, is mainly consisted of camera-projector and ASIC (Application Specific Integrated Circuit). With this module, the user interface can be projected on our daily surface, like the wall or desk, and the camera-projector system can be used to get depth information.
Firstly, this paper summarizes some similar system and proposes a system prototype for bare-hand human computer interaction. To verify the system prototype, we design a hardware platform which consists of FPGA，pico-projector, camera, sram, usb and so on. Two versions of PCB are designed and Verilog language is used for FPGA programming. The second version of PCB can meet the requirements of two methods for imperceptible structured light. In this paper, the hardware platform is mainly used for projection and image capture, the touch detection algorithm is implemented on PC.
Secondly, based on the hardware platform, this paper proposes an adaptive layered imperceptible structured light method for touch detection. Coarse imperceptible stipe is used to locate the possible area of fingers and fine imperceptible stipe is used to detect touch operation. The imperceptible results show that, this method can avoid flicker and color distortion caused by imperceptible code effectively. What’s more, several applications (e.g. touch-key, tracking of touch-fingertip, zoom in and zoom out operations) are designed to verify the proposed system prototype and the touch detection method.
The experiment results show that our hardware platform operates stably and can support further research, for example, to implant the touch detection algorithm to it. Furthermore, the proposed adaptive layered imperceptible structured light method can detect touch operation effectively with good imperceptible effects and low computational complexity.