Background/Objectives: Aims to study the projection mapping technology which will project the multi-phase solid image in the curved display real time in the performance.Methods/Statistical analysis: Analyze the shape of the object to be mapped for the project and based on the analyzed characteristics, the structure of the installation of the applicable project to the actual object and the projection mapping production tool shall be developed and be applied to the elastic shape.Findings: According to the analysis result of the curved display, one projector did not suit the image and the distortion of the image occurred. According, it was divided into the four sections and projection mapping was made to minimize the problems, and the projection production tool which applied the geometric matching technology, edge blending technology, UDP telecommunication method etc based on the grid for the image matching using the Max/Msp was developed and the actual face shaped curved display was applied.Improvements/Applications: In order to conduct projection map precisely to the actuator moving real time, Z-depth should be considered and the advanced technology which matches the three dimensional mapping image should be applied.
Background/Objectives: The purpose of this study is control technology to reflect user's appearance and movement in the void display in real time.Methods/Statistical analysis: In this paper, we have developed real-time shading image data acquisition based on RGB-D sensor and real-time interaction image control structure for realizing 0-255 Depth image of physical void display. We also study integrated interlocking control solution for integrated interlocking of hardware and software.Findings: Conventional flip displays show data in 0,1 image representation. On the other hand, the void display we are studying acquires real-time data based on RGB-D and shows the data in depth 0-255 image representation.Improvements/Applications: In the void display, the image representation of 0.1 was extended to the depth 0-255 representation.
Gooseflesh ARTIST STATEMENTGooseflesh is a non-photorealistic line drawing made using Processing (http://processing.org), a computer language created by Casey Reas and Ben Fry. The algorithm focuses on drawing pictures using numerical values to regularize the value of the position of the connecting two points and the character of the line. The lines are created by an algorithm that is based on the laws of physics. This method instills the historical image with a type of visual shock, embellishing it with the complexity of modern times. The use of random Bezier lines also expresses the concept of minimal logic and the illicit use of technology.TECHNICAL STATEMENT This project uses SVG (Scalable Vector Graphics) and an image rendering technique represented by Bezier curves using vector images. Since the SVG format uses a vector image created using XML, a language typically used on the web, we can transform the image freely. After removing the color information of the saved image, we import the path information of the vector image. Then after dividing the information of the vector image's line into pixel units, we save the coordinate information of the original line to the array. Each saved coordinate is used as the point of a Bezier curve and then is drawn using the selected control points and more than three values from the array. By applying the drawing image processing algorithm to each point, the original image is shown as a representation of various complex Bezier curves.ARTIST STATEMENT Procedural Oil Painting investigates how human observation is affected by paint elements. In this work, we focused on how man-made paintings are constructed and then we developed a technique that automatically simulated brush strokes. The work is a series of graphic paintings that illustrates the detection of position, shape, size, and the direction of the stroke. The images are scenes from a traditional Korean funeral. TECHNICAL STATEMENTWe created a procedural oil painting algorithm that used brush textures. The direction of brush strokes is calculated by using local gradient interpolation. This method calculates the direction of the surrounding pixels by determining the direction of the strongest edge of the existing pixels. We determined whether to re-paint brush strokes on the canvas by examining the value of the color difference before and after adding brush textures on randomly chosen positions. The wide and narrow brush sizes were determined by the sizes of the objects. Finally, we applied line shapes to the composition. Procedural Oil Painting 320
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