| Summary: | 碩士 === 高苑科技大學 === 機械與自動化工程研究所 === 96 === One of the main goals in this thesis is to construct a whole system by considering using a low cost monocular image and fast distance measurement method. The image distance system used by image input devices called CCD to acquire the light source signal (Super LED) provides users to calculate the distance of the objects. The other goal is to simulate the motion of the human being’s head by using the binocular vision to trace objects.
The purpose of this thesis is to design and explore the image measurement involved in the surrounding vision depth by using the fast and effective image distance measurement system. Traditionally, the users need to apply rulers to measure the exact distance. Generally speaking, it is not easy to apply the mono-image lens (CCD) to obtain the distance between the object and image input device. The hardware structure platform of this system consists of light source Super LED, Web Cameras and Convex Lens. It is set up according to the optical axis parallel method to transmit the image to the main engine of the system through USB transmission interface and then derive the distance measurement method through the light source variation and the information about the image treatment by applying the property of the light source and the object to be set in a line to calculate the distance we need.
The other way of this thesis is using the binocular vision effect to modify the motion of the head of man. Basically the exact distance between the system platform and the object can be solved by aligning the binocular focus and applying the algorithm which is derived to find the distance of the monocular image. This method shows that the servomotor can be applied to correct the image error while the object is set in the center of the image. If the object can be observed only by one single location, the monocular method will be also used to estimate its action.
From the experimental results we know that the distance between the object and the image lens can be instantaneously determined by adopting the structure of this monocular system and treated image data by the vision algorithm. However, for the binocular measurement, we can trace the object under general environment and make a comparison between the monocular measurement error and the binocular one.
|
|---|
