Abstract: A device and apparatus for mixing and dispersing a solid and a liquid are provided. The device includes a powder pulverizing mechanism fixedly connected to a main shaft. The powder pulverizing mechanism is located in a powder feed chamber. The powder feed chamber is provided with a powder feed port. A liquid feed chamber is arranged on an outer side of the powder feed chamber. The liquid feed chamber is provided with a liquid feed port, and the liquid feed chamber is provided therein with a dispersing mechanism fixedly connected to the main shaft. A lower portion of the liquid feed chamber and a lower portion of the powder feed chamber are separately in communication with an upper portion of a mixing chamber. The mixing chamber is provided therein with an impeller fixedly connected to the main shaft.

Abstract: A method of obtaining a disparity vector and its encoding/decoding in the multi-view coding process is disclosed. The present invention includes essentially: determining a disparity vector between two views during the multi-view image coding, and computing a disparity vector between the other two views according to the disparity vector between the two views and the known relative location information between each of the views. Thereafter, the disparity vector is used for multi-view encoding/decoding. The present invention further makes use of the correlation between the disparity vector and depth information of the spatial vector on one hand, and on the other hand makes use of the direct relationship between the disparity vector and the location of each of the cameras. It is experimentally proved that the disparity vector between several views can be accurately computed during the multi-view coding, thereby improving the performance of multi-view coding.

Abstract: A method of obtaining a disparity vector and its encoding/decoding in the multi-view coding process is disclosed. The present invention includes essentially: determining a disparity vector between two views during the multi-view image coding, and computing a disparity vector between the other two views according to the disparity vector between the two views and the known relative location information between each of the views. Thereafter, the disparity vector is used for multi-view encoding/decoding. The present invention further makes use of the correlation between the disparity vector and depth information of the spatial vector on one hand, and on the other hand makes use of the direct relationship between the disparity vector and the location of each of the cameras. It is experimentally proved that the disparity vector between several views can be accurately computed during the multi-view coding, thereby improving the performance of multi-view coding.