Advances in Depth Image Analysis and Applications: by Shuntaro Yamazaki, Masaaki Mochimaru (auth.), Xiaoyi Jiang,

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By Shuntaro Yamazaki, Masaaki Mochimaru (auth.), Xiaoyi Jiang, Olga Regina Pereira Bellon, Dmitry Goldgof, Takeshi Oishi (eds.)

This publication constitutes the refereed complaints of the foreign Workshop on intensity photograph research, held together with ICPR 2012 in Japan in November 2012. The sixteen revised complete papers provided on the workshop have been rigorously reviewed and chosen from 27 submissions and are complemented with three invited papers that have been additionally peer-reviewed. The papers are equipped in topical sections on acquisition and modeling of intensity info, processing and research of intensity info, functions, and ICPR contest.

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Additional resources for Advances in Depth Image Analysis and Applications: International Workshop, WDIA 2012, Tsukuba, Japan, November 11, 2012, Revised Selected and Invited Papers

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Weather changes (mix of sun and rain) caused indoor temperature variations. At minute 497 the window was closed and the room temperature increased. In Fig. 4(b), a negative correlation between temperature (green) and DMP (blue) can be observed. This conforms to the zoom-in effect (cf. Sec. 3). In contrast to that, a positive correlation between temperature and DD (red) can be noticed. 4◦ C. 88 mm per 1◦ C. The latter compares well with an increase by 8 mm per 1◦ C as reported for the SR2 time-of-flight camera [8].

Texture-rich poster (a) observed by both cameras in both heat states. In the color coding scheme (b), hue indicates direction and saturation indicates magnitude. White color indicates no movement, strong colors indicate large movements. The results of the dense optical flow from the cold to the warm state are shown in (c) for the IR and in (d) for the RGB camera. The table summarizes quantitative details. Table 1. 00266 states, two changes could be observed for the warm state: the pictures were more blurred and the poster appeared slightly magnified.

Fig. 3. The region of interest (red box) within the RGB camera image (converted to grayscale) and the depth image are shown in (a) and (b). The experimental setup consists of the following items: Kinect (1), mounted fan (2), large planar checkerboard (3), fluorescent lamp (4), thermometer (5), table fan (6). both cameras. Repeating this for both heat states, we got two sets of images for each camera. The IR projector was blocked to prevent detection errors of checkerboard corners by the structured light.

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