Industrial Technology Research Institute

I-Yen Chen

Cheng-Yi Liu

Chi-Lung Wang

Jiann-Jone Chen

Chin-Chen Chang

Yung-Cheng Ma

Yen-Tun Peng

Jau-Fu Liu

Disclosed is directed to a speed-level calculator and calculating method for dynamic voltage scaling. The speed-level calculator comprises a deadline counter, a shifter, and a fixed-point multiplier. The deadline counter calculates the residual time D from current time to each task deadline for completing an episode. The shifter generates a D' value by shifting the D value to the right for e-m bits, and takes the decimal fraction part of the D&#x2032; value for m bits. The speed-level calculator further comprises a saturation control circuit to detect if an overflow occurs on the D&#x2032; value. According to a pre-calculated parameter &#x3b1;corresponding to each task T, the fixed-point multiplier performs the multiplication of D&#x2032; and &#x3b1;. After completing saturation and rounding on the multiplication result, a corresponding clock period is generated by taking the integer part. This clock period is used as speed-level to switch the processor voltage and frequency.

Speed-level calculator and calculating method for dynamic voltage scaling

A method for aligning gesture features of image is disclosed. An input gesture image is captured, and then a closed curve formed by a binary contour image of the gesture image is determined by processing the gesture image. A curvature scale space (CSS) image of the gesture image is drawn based on the closed curve. A convolution operation is performed with respect to the sequence of a coordinate-peak set formed by the CSS image and a predefined function to designate the coordinate with maximal value of integration as a basis point for obtaining a feature parameter of the gesture image. Finally, comparing the feature parameter of the gesture image with each feature parameter of a plurality of reference gesture shapes, thereby determining a gesture shape corresponding to the gesture image.

Method for aligning gesture features of image

A background removal apparatus comprises a color normalization module that normalizes an original image, and an image segmentation module that segments the normalized image into several segmented regions. A background mesh generation module simulates the variation of pixel colors in background and generates an interpolated background mesh. A comparison module compares the normalized image and the interpolated background mesh to form a background mask by extracting the coherent regions between them. A refinement module uses a refined rule to determine a final background mask, and a background removal module through which a pure foreground image is obtained. The apparatus combines the efficiency of both color and spatial clustering, and improves the capabilities of current image segmentation method to perform background removal.

Apparatus and method for removing background on visual

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Kaohsiung, Taiwan

I-Yen Chen