The color filter required for manufacturing a CMOS image sensor was redeveloped to optimize its optical uniformity. An in-depth study of the three-dimensional (3D) coating process and how it gives rise to various radial-shaped striation patterns was conducted. These radial-shaped striation patterns were systematically investigated with reference to two types of patterns: the orthogonal type found only at the orthogonal edges of the wafer and the diagonal type found mostly at the corner of each quadrant. The formation of the orthogonal pattern was based on the wide standing wave created by the incident force of the spreading color photoresist (PR) and the reflective force from the bump pads acting as coating barriers. The diagonal pattern was found to be generated by the turbulent wakes created behind the bump pads by the drag force, which interfered with the coating flow. An in-depth study using Ansys CFX software and an inline inspection tool revealed that lowering the viscosity of the color PR material is a key factor for improving the phenomenon whereby the 3D striation patterns of the orthogonal and diagonal types are formed. Based on this finding, it was possible to drastically reduce the formation of the 3D striation patterns by decreasing the viscosity of the material comprising each color PR. This study provides not only an empirical and theoretical understanding of the 3D color PR coating mechanism, but also guidelines for future color filter processes.
Abstract. An augmented book is an application that augments virtual 3D objects to a real book via AR technology. For augmented books, some markerless methods have been proposed so far. However, they can only recognize one page at a time. This leads to restrictions on the utilization of augmented books. In this paper, we present a novel markerless tracking method capable of recognizing and tracking multiple pages in real-time. The proposed method builds on our previous work using the generic randomized forest (GRF). The previous work finds out one page in the entire image using the GRF, whereas the proposed method detects multiple pages by dividing an image into subregions, applying the GRF to each subregion and discovering spatial locality from the GRF results.
Abstract. Augmented reality applications require 3D model of environment to provide even more realistic experience. Unfortunately, however, most of researches on 3D modeling have been restricted to an offline process up to now, which conflicts with characteristics of AR such as realtime and online experience. In addition, it is barely possible not only to generate 3D model of whole world in advance but also trasfer the burden of 3D model generation to a user, which limits the usability of AR. Thus, it is required to draw the 3D model generation to an online stage from an offline stage. In this paper, we propose an online scene modeling method to generate 3D model of a scene, based on the keyframe-based SLAM which supports AR experience even in an unknown scene by generating a map of 3D points. The scene modeling process in this paper is a little computationally expensive in terms of real-time but it doesn't restrict real-time property of AR because it is executed on a background process. Therefore, a user will be provided with an interactive AR applications that support interactions between the real and virtual world even in an unknown environment.
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