Abstract: A multiaxial robot includes a first rotation module, a second rotation module, and a connecting member. The first rotation module includes a base and a plurality of arms. The arms are configured to rotate parallel to a first plane relative to the base. The second rotation module includes at least one wrist. The wrist is connected to the farthest arm arranged from the base in the first rotation module and configured to rotate parallel to a second plane relative to the first rotation module. The connecting member is pivotally connected to the base and connected to an adjacent one of the arms, or is connected between adjacent two of the arms and the wrist.

Abstract: A multiaxial robot includes a first rotation module, a second rotation module, and a connecting member. The first rotation module includes a base and a plurality of arms. The arms are configured to rotate parallel to a first plane relative to the base. The second rotation module includes at least one wrist. The wrist is connected to the farthest arm arranged from the base in the first rotation module and configured to rotate parallel to a second plane relative to the first rotation module. The connecting member is pivotally connected to the base and connected to an adjacent one of the arms, or is connected between adjacent two of the arms and the wrist.

Abstract: A multiaxial robot of multitasking includes a base, a plurality of arms, at least one wrist, a first engaging structure, and a second engaging structure. The arms are sequentially connected from the base, and any adjacent two of the base and the arms are configured to rotate relative to each other. The wrist is connected to the farthest arm arranged relative to the base and configured to rotate relative to the connected arm. The first engaging structure is disposed on the wrist and configured to connect a first tool. The second engaging structure is disposed on one of the arms and configured to connect a second tool.

Abstract: A multiaxial robot includes a first rotation module, a second rotation module, and an elevator member. The first rotation module includes a base and a plurality of arms. The arms are configured to rotate parallel to a first plane relative to the base. The second rotation module includes at least one wrist. The wrist is connected to the farthest arm arranged from the base in the first rotation module and configured to rotate parallel to a second plane relative to the first rotation module. The elevator member is pivotally connected to the base and connected to an adjacent one of the arms, or is connected between adjacent two of the arms and the wrist. The elevator member is configured to elevate components of the multiaxial robot arranged after the elevator member relative to the base in an elevating direction.

Abstract: A multiaxial robot of multitasking includes a base, a plurality of arms, at least one wrist, a first engaging structure, and a second engaging structure. The arms are sequentially connected from the base, and any adjacent two of the base and the arms are configured to rotate relative to each other. The wrist is connected to the farthest arm arranged relative to the base and configured to rotate relative to the connected arm. The first engaging structure is disposed on the wrist and configured to connect a first tool. The second engaging structure is disposed on one of the arms and configured to connect a second tool.

Abstract: A method of converting 2D images to 3D images and system thereof is provided. According to one embodiment, the method comprises receiving a plurality of 2D images from an imaging device; obtaining motion parameters from a sensor associated with the imaging device; selecting at least two 2D images from the plurality of 2D images based on the motion parameters; determining a depth map based on the selected 2D images and the motion parameters corresponding to the selected 2D images; and generating a 3D image based on the depth map and one of the plurality of 2D images.

Abstract: An image processing method includes the following steps. An input data including a number of original data are received. The original data are converted into a number of converted emulation voltage signals. At least a simulation circuit model including at least a spatial data node, at least a diffusion node and at least a connection device is established, wherein, the at least a connection device is coupled to a part or all of the at least a spatial data node and the at least a diffusion node. A part or all of the converted emulation voltage signals are supplied to the diffusion node to achieve voltage diffusion among the spatial data nodes and the diffusion nodes via the connection device, so that at least a diffused emulation voltage signal is obtained on the diffusion nodes. Then, processed image data are generated according to the diffused emulation voltage signals.

Abstract: A image processing method for obtaining a saliency map of a input image, includes the steps of: determining a depth map and an initial saliency map; selecting a (j,i)th depth on the depth map as a target depth, wherein i and j are natural numbers respectively smaller than or equal to integers m and n; selecting 2R+1 selected depths with a one-dimensional window, centered with the target depth, wherein R is a natural number greater than 1; for each of the 2R+1 selected depths, determining whether it is greater than the target depth; if so, having a corresponding (j,i)th saliency value adjusted with a difference; and adjusting parameters i and j to have each and every saliency values of the initial saliency map adjusted and accordingly obtain the saliency map.

Abstract: A method for refining a three-dimensional image includes identifying a depth image of the three-dimensional image, and establishing a simulation circuit model by a processor. The simulation circuit model includes data nodes, diffusion nodes and connection devices, the connection devices connecting the data nodes and the diffusion nodes, the simulation circuit model assigning emulation voltage signals to the data nodes, the assigned emulation voltage signals being substantially correlated to depth data. The processor applies an optimization operation to generate diffused voltage signals for the diffusion nodes due to at least a redistribution of at least some of the emulation voltage signals to the diffusion nodes through the connection devices, and updates the depth data of the depth image based on the diffused voltage signals.

Abstract: An image processing method is provided. Firstly, input data including a number of original data are received. Next, the original data are converted into a number of converted emulation voltage signals. Then, at least a simulation circuit model including at least a spatial data node, at least a diffusion node and at least a connection device is established, wherein, the at least a connection device is coupled to a part or all of the at least a spatial data node and the at least a diffusion node. Afterwards, a part or all of the converted emulation voltage signals are supplied to the diffusion node to achieve voltage diffusion among the spatial data nodes and the diffusion nodes via the connection device, so that at least a diffused emulation voltage signal is obtained on the diffusion nodes. After that, processed image data are generated according to the diffused emulation voltage signals.

Abstract: A method for generating image depth of a stereo image is provided. The method includes the following steps. Firstly, a stereo image is received. Next, a number of paths with greater gradient are searched in the stereo image. Then, the image depths of a number of first pixels in the paths are generated. After that, the image depths of a number of second pixels not in the paths are generated according to the image depths of the first pixels.

Abstract: A holographic recoding medium is provided, having holographic pages. Each page has reference mark (RM) placement areas at fixed locations for placing RM patterns. The reference marks are used to calibrate data images of data areas each of which is enclosed by at least three RM regions. Hidden information of the medium is stored by an specific encoded pattern based on existence, types and arrangements of the RM marks.

Abstract: An adaptive multi-channel controller and its method for a storage device are provided for data transmission between a host and the storage device. The storage device is configured to have multiple channels. A channel use amount is determined based on a data access amount of the host. Then, activated channels are selected among the channels according to the channel use amount. The data transmission is then carried out through the selected channels.

Abstract: A method and an apparatus for detecting code of a holographic data page are provided. First, image information of at least one special pattern in the holographic data page is captured, and the captured image information is integrated into a characteristic symbol (CS) of the holographic data page. Then, the CS of the holographic data page is compared with a plurality of predetermined characteristic symbols (PCSs) to obtain a similarity between the CS and each of the PCSs. Thereafter, the PCS having the highest similarity to the CS is selected as the code information of the holographic data page.

Abstract: A holographic recoding medium is provided, having holographic pages. Each page has reference mark (RM) placement areas at fixed locations for placing RM patterns. The reference marks are used to calibrate data images of data areas each of which is enclosed by at least three RM regions. Hidden information of the medium is stored by an specific encoded pattern based on existence, types and arrangements of the RM marks.