摘要:
An image sensor includes a sensor matrix including a plurality of sensing elements and a plurality of shutter control lines. Each sensing element includes an electronic shutter and a photo-detector, wherein the electronic shutter controls the exposure time of the photo-detector. Each shutter control line couples to a row or column of the electronic shutters, whereby different rows or columns of the electronic shutters can be independently controlled, and the photo-detectors in the same row or column can have the same exposure time.
摘要:
A human face detection device includes a photosensitive element, a human face detection unit, and a skin color threshold generation unit. The photosensitive element is used for capturing a first image containing a first human face block. The human face detection unit compares the first image with at least one human face feature, so as to detect the first human face block. The skin color threshold generation unit is used for updating a skin color threshold value according to the detected first human face block. The skin color threshold value is used for filtering the first image signal to obtain a candidate region, the human face detection unit compares the candidate region with the at least one human face feature to obtain the first human face block, and the skin color threshold value determines whether the first human face block detected by the human face detection unit is correct.
摘要:
A shooting parameter adjustment method for face detection includes (A) acquiring an image; (B) dividing the image into a plurality of blocks, and calculating a brightness value of each of the blocks; (C) selecting at least one of the plurality of blocks, and adjusting a shooting parameter according to the brightness value of the selected block; and (D) acquiring another image according to the shooting parameter, and performing a face detection procedure with the another image. The shooting parameter adjustment method can automatically adjust a shooting parameter of an image capturing device according to brightness of different blocks in an image. Therefore, by using this method, the brightness of a face, no matter being too high or too low, can be adjusted to a value suitable for face detection, so as to improve the accuracy of the face detection procedure.
摘要:
A dynamic image compression method for human face detection includes the following steps. An original image is acquired. The image is divided into a plurality of blocks. A first brightness and a plurality of gradient values of each block are calculated. A second brightness of each block is calculated according to a brightness transformation function and the first brightness. A reconstruction image is generated according to the second brightness and the plurality of gradient values of each block. Human face detection is performed according to the reconstruction image. Therefore, gradient values within an original square are. When the human face detection process is performed through gradient direction information, a success rate of detection is greatly increased.
摘要:
There is provided an optical distance detection system which includes a light source and a detection device. The light source is configured to illuminate a surface of an object. The detection device is configured to receive a reflected light from the surface of the object and to output a distance of the object according to the reflected light. The detection device includes a sensing module and a calculation module. The sensing module is configured to receive the reflected light to accordingly generate an image. The calculation module is for outputting the distance according to a light spot position and a light spot size of the reflected light forming on the image.
摘要:
There is provided an image system including at least one image sensor, a light source and a processing unit. The at least one image sensor sequentially acquires at least two images within each of the brightness variation intervals of an ambient light source. The light source lights once within each of the brightness variation intervals and the lighting of the light source is synchronized to one of the images acquired by the at least one image sensor. The processing unit calculates an image difference between the image synchronizing to the lighting of the light source and the image not synchronizing to the lighting of the light source thereby eliminating interference from the ambient light source. There is further provided a denoising method for an image system.
摘要:
There is provided an interference removing method of an image system including the steps of: respectively acquiring different numbers of images within two brightness intervals having different brightness variations using an image sensor having a sampling frequency; lighting a light source with a lighting frequency, which is a half of the sampling frequency, and synchronizing to the sampling frequency; and subtracting a first image, which is associated with the lighting of the light source, acquired in a later brightness interval of two adjacent brightness intervals having identical brightness variations by a second image, which is associated with a sampling time of the first image, acquired in an earlier brightness interval of the two adjacent brightness intervals. The present disclosure further provides an image system.