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We present a novel solution to automatic semantic modeling of indoor scenes from a sparse set of low-quality RGB-D images. Such data presents challenges due to noise, low resolution, occlusion and missing depth information. We exploit the knowledge in a scene database containing 100s of indoor scenes with over 10,000 manually segmented and labeled mesh(More)
OBJECTIVE To assess the correlation between expression of proliferation antigen Ki-67, early apoptotic protein M30 (M30CytoDEATH, CK18) and biologic characteristics in endometrial carcinoma. METHODS SP immunohistochemical technique was used to detect the expression of Ki-67 and M30 in 79 cases of endometrial carcinoma respectively. RESULTS The mean(More)
OBJECTIVES To investigate the pollutant levels of regulated disinfection by-products trihalomethanes (THMs) and haloacetic acids (HAAs) in raw water from the Huangpu River, the Yangtze River and different treatment processes and finished water, and to explore the changes tendency in transmission and distribution pipeline network. METHODS A total of 65 ml(More)
OBJECTIVE To study the technique of total calvaria reconstruction for sagittal synostosis. METHODS 11 children with sagittal synostosis were treated. The David II procedure was used to reconstruct the calvarial gap in 6 cases; Osteotomies with reversal change was performed on 2 cases; Plum-plasty of the calvaria was performed on 3 cases. RESULTS The 11(More)
We present a novel solution to automatic semantic modeling of indoor scenes from a sparse set of low-quality RGB-D images. Such data presents challenges due to noise, low resolution, occlusion and missing depth information. We exploit the knowledge in a scene database containing 100s of indoor scenes with over 10,000 manually segmented and labeled mesh(More)
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