Abstract: A method for manufacturing a semiconductor device includes: providing a wafer-bonding stack structure having a sidewall layer and an exposed first component layer; forming a photoresist layer on the first component layer; performing an edge trimming process to at least remove the sidewall layer; and removing the photoresist layer. In this way, contaminant particles generated from the blade during the edge trimming process may fall on the photoresist layer but not fall on the first component layer, so as to protect the first component layer from being contaminated.

Abstract: A method for manufacturing a semiconductor device includes: providing a wafer-bonding stack structure having a sidewall layer and an exposed first component layer; forming a photoresist layer on the first component layer; performing an edge trimming process to at least remove the sidewall layer; and removing the photoresist layer. In this way, contaminant particles generated from the blade during the edge trimming process may fall on the photoresist layer but not fall on the first component layer, so as to protect the first component layer from being contaminated.

Abstract: A method for estimating a distance between a first target and a second target in an image is to be implemented using a distance estimation system that includes a processor module. In the method, the processor module is programmed to: generate an image depth map associated with the image; generate first position information associated with a first position which corresponds to the first target in the image, and second position information associated with a second position which corresponds to the second target in the image; and compute an estimate of a distance between the first target and the second target based on at least the image depth map, the first position information, and the second position information.

Abstract: A method for estimating a distance between a first target and a second target in an image is to be implemented using a distance estimation system that includes a processor module. In the method, the processor module is programmed to: generate an image depth map associated with the image; generate first position information associated with a first position which corresponds to the first target in the image, and second position information associated with a second position which corresponds to the second target in the image; and compute an estimate of a distance between the first target and the second target based on at least the image depth map, the first position information, and the second position information.

Abstract: A method for estimating a distance between a first target and a second target in an image is to be implemented using a distance estimation system that includes a processor module. In the method, the processor module is programmed to: generate an image depth map associated with the image; generate first position information associated with a first position which corresponds to the first target in the image, and second position information associated with a second position which corresponds to the second target in the image; and compute an estimate of a distance between the first target and the second target based on at least the image depth map, the first position information, and the second position information.

Abstract: A method is provided to generate a 3D image using a light-field camera that includes a main lens, a micro-lens array, a light sensing component, and an image processing module. The micro-lens array forms a plurality of adjacent micro-images at different positions of the light sensing component. Each micro-image includes multiple image zones corresponding to different viewing angles. For each micro-image, the image processing module obtains image pixel values from the image zones, so as to generate camera images corresponding to different viewing angles. The image processing module combines the camera images to generate the 3D image.

Abstract: An image depth processing method includes the following steps. A background image and a foreground image in a reference image are obtained according to a depth image corresponding to the reference image. It is noted that the depth value of the background image is larger than the depth value of the foreground image. Meanwhile, the background image is blurred, and then the foreground image and a local image in the blurred background image are blurred. A simulation image is generated according to the background image and the foreground image after blurring the local image and the foreground image.

Abstract: An image depth processing method includes the following steps. A background image and a foreground image in a reference image are obtained according to a depth image corresponding to the reference image. It is noted that the depth value of the background image is larger than the depth value of the foreground image. Meanwhile, the background image is blurred, and then the foreground image and a local image in the blurred background image are blurred. A simulation image is generated according to the background image and the foreground image after blurring the local image and the foreground image.

Abstract: A method for estimating a distance between a first target and a second target in an image is to be implemented using a distance estimation system that includes a processor module. In the method, the processor module is programmed to: generate an image depth map associated with the image; generate first position information associated with a first position which corresponds to the first target in the image, and second position information associated with a second position which corresponds to the second target in the image; and compute an estimate of a distance between the first target and the second target based on at least the image depth map, the first position information, and the second position information.

Abstract: A handheld device includes a memory module, a sensing module and a processing module. The processing module is coupled to the sensing module and the memory module. The memory module stores a plurality of applications. The sensing module detects a motion of the handheld device and provides a sensing signal. The processing module executes at least one of the plurality of applications and receives the sensing signal. When the handheld device enters a motion operation mode and the processing module receives the sensing signal from the sensing module, the processing module controls the handheld device to execute a specific function according to at least one of the applications being executed and the sensing signal received by the handheld device.

Abstract: An image capturing device includes at least one lens unit and an image sensor. The at least one lens unit includes a main lens, a first reflective lens and a second reflective lens. The first reflective lens has a first reflective surface that is configured to receive light which passes through the main lens into the image capturing device. The second reflective lens has a second reflective surface that is configured to receive light reflected from the first reflective surface. The image sensor is configured to receive and sense light reflected from the second reflective surface. The second reflective surface and the first reflective surface are non-parallel to each other.

Abstract: A method is provided to generate a full depth-of-field image using a light-field camera that includes a main lens, a micro-lens array, a light sensing component, and an image processing unit. The micro-lens array forms a plurality of micro-images at different positions of the light sensing component. The image processing unit obtains, for each of the micro-images, an image pixel value according to one of the pixels that is disposed at a specific position of the micro-image, and arranges the image pixel values obtained for the micro-images according to positions of the micro-images on the light sensing component to generate the full depth-of-field image.

Abstract: A method is provided to generate a 3D image using a light-field camera that includes a main lens, a micro-lens array, a light sensing component, and an image processing module. The micro-lens array forms a plurality of adjacent micro-images at different positions of the light sensing component. Each micro-image includes multiple image zones corresponding to different viewing angles. For each micro-image, the image processing module obtains image pixel values from the image zones, so as to generate camera images corresponding to different viewing angles. The image processing module combines the camera images to generate the 3D image.