By Shuntaro Yamazaki, Masaaki Mochimaru (auth.), Xiaoyi Jiang, Olga Regina Pereira Bellon, Dmitry Goldgof, Takeshi Oishi (eds.)
This ebook constitutes the refereed court cases of the overseas Workshop on intensity snapshot research, held along side ICPR 2012 in Japan in November 2012. The sixteen revised complete papers provided on the workshop have been conscientiously reviewed and chosen from 27 submissions and are complemented with three invited papers that have been additionally peer-reviewed. The papers are geared up in topical sections on acquisition and modeling of intensity info, processing and research of intensity info, functions, and ICPR contest.
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Extra resources for Advances in Depth Image Analysis and Applications: International Workshop, WDIA 2012, Tsukuba, Japan, November 11, 2012, Revised Selected and Invited Papers
Tytgat, S. Lievens, and E. Six Up to this point, the discussion has focused on the reconstruction of the model geometry. In order to produce a convincing render, one also needs to address the appearance however. With traditional texture mapping, one needs to assign texture coordinates to every vertex of the mesh. Due to the implicit nature on how the geometry is built, this can be quite a cumbersome process. Instead, a technique called ’projective texturing’ is used. In projective texturing, one or more textures are projected on an arbitrary geometry.
The latter compares well with an increase by 8 mm per 1◦ C as reported for the SR2 time-of-ﬂight camera . The table in Fig. 4(b) shows quantitative details. 1476 28 1472 26 1468 24 1464 0 Temp. 56 22 Kinect Depth Model Plane Temperature 1460 (a) Temperature sensor (left) attached at Kinect’s ventilation slot. 29 50 100 Time [min] 150 Temperature [°C] Distance [mm] Impact of Thermal and Environmental Conditions on the Kinect Sensor 20 200 (b) Plot of temperature and distances before and after internal fan activation.
Next, if we asscribed by a three-dimensional displacement vector sume both a small region and small motion for a point P, we can define the strain tensor: , (2) or in an expanded form: (3) , ) are normal strain components, , , ) are shear strain where ,, components, and u,v,w are the displacements in the x,y,z directions. Since strain is defined with respect to the displacement vector (u,v,w) in continuous space, we make the following 2-D approximation from the optical flow data (p,q): ∆ ∆ ∆ ∆ ∆ ∆ ∆ ∆ ∆ , ∆ , (4) , ∆ , (5) , ∆ .
Advances in Depth Image Analysis and Applications: International Workshop, WDIA 2012, Tsukuba, Japan, November 11, 2012, Revised Selected and Invited Papers by Shuntaro Yamazaki, Masaaki Mochimaru (auth.), Xiaoyi Jiang, Olga Regina Pereira Bellon, Dmitry Goldgof, Takeshi Oishi (eds.)