Abstract: A vision-haptics fused augmented reality simulator for dental surgical skill training, including a dental simulation training platform constructed based on an artificial head phantom; a dental operation training system based on a haptic feedback device; an observation system based on an augmented reality head-mounted display; generating a virtual dental model by modeling based on CBCT data and scan data of a patient's dental cavity, to construct a virtual dental environment; based on the virtual dental model and feature points obtained through scanning on the artificial head phantom, performing a spatial matching of a virtual dental cavity and a dental model; in a virtual dental surgery simulation method, outputting haptics information and visual information at frequencies of not less than 1000 Hz and 60 Hz, respectively; performing a visual information processing method on grid data; and performing a haptics-vision space calibration method based on information of an operator's head.

Abstract: A vision-haptics fused augmented reality simulator for dental surgical skill training, including a dental simulation training platform constructed based on an artificial head phantom; a dental operation training system based on a haptic feedback device; an observation system based on an augmented reality head-mounted display; generating a virtual dental model by modeling based on CBCT data and scan data of a patient's dental cavity, to construct a virtual dental environment; based on the virtual dental model and feature points obtained through scanning on the artificial head phantom, performing a spatial matching of a virtual dental cavity and a dental model; in a virtual dental surgery simulation method, outputting haptics information and visual information at frequencies of not less than 1000 Hz and 60 Hz, respectively; performing a visual information processing method on grid data; and performing a haptics-vision space calibration method based on information of an operator's head.

Abstract: The disclosure provides a method for image compression and a device using the same method. The method includes: retrieving an image block including pixels, wherein each pixel include a plurality of channel data; defining root nodes according to an image compressing ratio of the image block; categorizing each channel data of each pixel into groups corresponding to the root nodes, wherein a structure of each group is a binary tree; if an empty tree exists in the aforementioned groups, dividing an non-empty tree of the groups into sub-trees and replacing the empty tree and the non-empty tree with the sub-trees to update the groups and the root nodes; building a center value of each group and determining a group index of each channel data of each group; encoding the center value of each group and characterizing each channel data as the corresponding center value and the group index to compress each channel data.

Abstract: An image processing method and an image processing device are provided. The method includes: retrieving a first and second blocks and compressing the first and second blocks into a first and second streams; in response to determining performing a dynamic memory allocation mechanism to the first and second blocks, respectively allocating a first and second private storage spaces to the first and second blocks, and allocating a shared storage space shared by the first and second blocks and divided into multiple segments; when the first private storage space is insufficient to store the first stream, using the first private storage space and a first part of the segments to cooperatively store the first stream; when the second private storage space is insufficient to store the second stream, using the second private storage space and a second part of the segments to cooperatively store the second stream.

Abstract: An image processing method and an image processing device are provided. The method includes: retrieving a first and second blocks and compressing the first and second blocks into a first and second streams; in response to determining performing a dynamic memory allocation mechanism to the first and second blocks, respectively allocating a first and second private storage spaces to the first and second blocks, and allocating a shared storage space shared by the first and second blocks and divided into multiple segments; when the first private storage space is insufficient to store the first stream, using the first private storage space and a first part of the segments to cooperatively store the first stream; when the second private storage space is insufficient to store the second stream, using the second private storage space and a second part of the segments to cooperatively store the second stream.

Abstract: The disclosure provides a method for image compression and a device using the same method. The method includes: retrieving an image block including pixels, wherein each pixel include a plurality of channel data; defining root nodes according to an image compressing ratio of the image block; categorizing each channel data of each pixel into groups corresponding to the root nodes, wherein a structure of each group is a binary tree; if an empty tree exists in the aforementioned groups, dividing an non-empty tree of the groups into sub-trees and replacing the empty tree and the non-empty tree with the sub-trees to update the groups and the root nodes; building a center value of each group and determining a group index of each channel data of each group; encoding the center value of each group and characterizing each channel data as the corresponding center value and the group index to compress each channel data.

Abstract: The invention introduces a method for rate control in an MB (macroblock) layer, including: calculating a prediction MAD (Mean Absolute Difference) of a current MB of a current frame according to a real MAD of a previous MB of a previous frame; calculating a real MAD of the current MB of the current frame; performing an adjustment procedure to adjust the prediction MAD of the current MB of the current frame according to the real MAD of the current MB of the current frame to obtain a final MAD of the current MB of the current frame; calculating a quantization parameter of the current MB of the current frame according to the final MAD of the current MB of the current frame; and outputting the quantization parameter of the current MB of the current frame to a quantizer.

Abstract: The invention introduces a method for rate control in an MB (macroblock) layer, including: calculating a prediction MAD (Mean Absolute Difference) of a current MB of a current frame according to a real MAD of a previous MB of a previous frame; calculating a real MAD of the current MB of the current frame; performing an adjustment procedure to adjust the prediction MAD of the current MB of the current frame according to the real MAD of the current MB of the current frame to obtain a final MAD of the current MB of the current frame; calculating a quantization parameter of the current MB of the current frame according to the final MAD of the current MB of the current frame; and outputting the quantization parameter of the current MB of the current frame to a quantizer.