Abstract: A transport mechanism of a server rack including a carrier plate, a server rack disposed and fixed onto a top surface of the carrier plate, and multiple supporting assemblies respectively stacked onto a bottom surface of the carrier plate is provided. Each of the supporting assemblies has at least one cushion member. The cushion member has at least one hollow portion, and an opening of the hollow portion is exposed to an environment. The stiffness of the cushion member is smaller than the stiffness of the carrier plate. A pallet structure is also provided.

Abstract: An image depth generation device and method thereof is disclosed in the present invention. The device includes at least a processing circuit and at least a calculator. The processing circuit receives an input image and determines a visual distance of a pixel Pi according to a color of the pixel in the input image and at least a reference value to generate a depth offset of each pixel. The calculator is coupled to the processing circuit and uses the depth offset of each pixel and a predetermined depth to generate an output depth value of each pixel in the input image.

Abstract: A 2D to 3D image conversion apparatus includes a data queue, a conversion unit and an offset calculation unit. The data queue receives and temporarily stores an input data value corresponding to a current pixel. The conversion unit outputs a current offset table corresponding to a current depth parameter of the current pixel. The current offset table includes (m+1) reference offsets corresponding to the current pixel and neighboring m pixels. The offset calculation unit selects one of the reference offsets corresponding to the current pixel in the current offset table and multiple previous offset tables as a data offset corresponding to the current pixel. The data queue selects and outputs an output data value corresponding to the current pixel according to an integer part of the data offset and the input data value.

Abstract: A 2D to 3D image conversion apparatus includes a data queue, a conversion unit and an offset calculation unit. The data queue receives and temporarily stores an input data value corresponding to a current pixel. The conversion unit outputs a current offset table corresponding to a current depth parameter of the current pixel. The current offset table includes (m+1) reference offsets corresponding to the current pixel and neighboring m pixels. The offset calculation unit selects one of the reference offsets corresponding to the current pixel in the current offset table and multiple previous offset tables as a data offset corresponding to the current pixel. The data queue selects and outputs an output data value corresponding to the current pixel according to an integer part of the data offset and the input data value.

Abstract: A method of image processing, the method comprising receiving an image frame including a plurality of pixels, each of the plurality of pixels including an image information, conducting a first extraction based on the image information to identify foreground pixels related to a foreground object in the image frame and background pixels related to a background of the image frame, scanning the image frame in regions, identifying whether each of the regions includes a sufficient number of foreground pixels, identifying whether each of regions including a sufficient number of foreground pixels includes a foreground object, clustering regions including a foreground object into at least one group, each of the at least one group corresponding to a different foreground object in the image frame, and conducting a second extraction for each of at least one group to identify whether a foreground pixel in the each of the at least one group is to be converted to a background pixel.

Abstract: A method of image processing, the method comprising receiving an image frame including a plurality of pixels, each of the plurality of pixels including an image information, conducting a first extraction based on the image information to identify foreground pixels related to a foreground object in the image frame and background pixels related to a background of the image frame, scanning the image frame in regions, identifying whether each of the regions includes a sufficient number of foreground pixels, identifying whether each of regions including a sufficient number of foreground pixels includes a foreground object, clustering regions including a foreground object into at least one group, each of the at least one group corresponding to a different foreground object in the image frame, and conducting a second extraction for each of at least one group to identify whether a foreground pixel in the each of the at least one group is to be converted to a background pixel.

Abstract: A method for extracting a foreground object from an image comprises selecting a first pixel of the image, selecting a set of second pixels of the image associated with the first pixel, determining a set of contrasts for the first pixel by comparing the first pixel with each of the second pixels in image value, and determining an image structure of the first pixel in accordance with the set of contrasts.