Abstract: A method and a system for vision-based defect detection are proposed. The method includes the following steps. A test audio signal is outputted to a device-under-test (DUT), and a response signal of the DUT with respect to the test audio signal is received to generate a received audio signal. Signal processing is performed on the received audio signal to generate a spectrogram, and whether the DUT has an unacceptable defect with respect to the predefined auditory standard is determined by analyzing a distribution of signal strength according to the spectrogram.

Abstract: A method and a system for vision-based defect detection are proposed. The method includes the following steps. A test audio signal is outputted to a device-under-test (DUT), and a response signal of the DUT with respect to the test audio signal is received to generate a received audio signal. Signal processing is performed on the received audio signal to generate a spectrogram, and whether the DUT has an unacceptable defect with respect to the predefined auditory standard is determined through computer vision according to the spectrogram.

Abstract: A method and a system for vision-based defect detection are proposed. The method includes the following steps. A test audio signal is outputted to a device-under-test (DUT), and a response signal of the DUT with respect to the test audio signal is received to generate a received audio signal. Signal processing is performed on the received audio signal to generate a spectrogram, and whether the DUT has an unacceptable defect with respect to the predefined auditory standard is determined by analyzing a distribution of signal strength according to the spectrogram.

Abstract: A method and a system for vision-based defect detection are proposed. The method includes the following steps. A test audio signal is outputted to a device-under-test (DUT), and a response signal of the DUT with respect to the test audio signal is received to generate a received audio signal. Signal processing is performed on the received audio signal to generate a spectrogram, and whether the DUT has an unacceptable defect with respect to the predefined auditory standard is determined through computer vision according to the spectrogram.

Abstract: A method and a system for vision-based defect detection are proposed. The method includes the following steps. A test audio signal is outputted to a device-under-test (DUT), and a response signal of the DUT with respect to the test audio signal is received to generate a received audio signal. Signal processing is performed on the received audio signal to generate a spectrogram, and whether the DUT has a defect is determined through computer vision according to the spectrogram.

Abstract: A display method, a system and a computer-readable recording medium thereof are provided, where the method includes the following steps. An image of a user in front of a screen is captured by using an image capturing device to generate a user image. A foreground region and a background region in the user image are distinguished by using a depth sensor. A virtual window is set on a display area of the screen according to its display size. Human face detection is performed on the foreground region to obtain plane information of the human face, and depth information of the human face is obtained by using the depth sensor. A background image is generated based on the background region according to the virtual window, the plane information and the depth information of the human face. The foreground region is combined with the background image to generate an output image.

Abstract: An image processing method and an image processing system for eye-gaze correction are provided. The method is applicable to an image processing system having a screen and an image capturing device and includes the following steps. A user's face in front of the screen is captured by the image capturing device to generate a facial image. A head offset and an eye-gaze position of the user with respect to the screen are obtained based on the facial image so as to accordingly determine whether to correct the facial image. If yes, the facial image is corrected based on the eye-gaze position and a preset codebook to generate a corrected facial image, where the preset codebook records correction information of multiple preset eye-gaze positions.

Abstract: An interactive clothes and accessories fitting method, a display system and a computer-readable recording medium thereof are provided, where the method includes the following steps. While the user is wearing a first apparel, images of the user are continuously captured by using an image capturing device to generate a first image sequence, wherein each first image that forms the first image sequence respectively corresponds to a different pose of the user. While the user is wearing a second apparel, images of the user are continuously captured by using the image capturing device. When a second comparison image corresponding to a specific pose of the user is captured by the image capturing device, a first comparison image corresponding to the specific pose is searched from the first image sequence, and the first comparison image and the second comparison image are simultaneously displayed on a screen.

Abstract: An image processing method and an image processing system for eye-gaze correction are provided. The method is applicable to an image processing system having a screen and an image capturing device and includes the following steps. A user's face in front of the screen is captured by the image capturing device to generate a facial image. A head offset and an eye-gaze position of the user with respect to the screen are obtained based on the facial image so as to accordingly determine whether to correct the facial image. If yes, the facial image is corrected based on the eye-gaze position and a preset codebook to generate a corrected facial image, where the preset codebook records correction information of multiple preset eye-gaze positions.

Abstract: The present disclosure provides a three-dimensional image display apparatus, which includes a first reflecting plate and a display unit. The first reflecting plate corresponds to a first visual angle, has a first reflecting surface, and is made of a translucent material. The display unit receives a first color-depth image corresponding to the first visual angle, and projects the first color-depth image to the first reflecting surface to form a virtual image. The display unit also has a first side, which is used to display the first color-depth image, and a predetermined angle is formed between the first side and the first reflecting surface.

Abstract: An interactive clothes and accessories fitting method, a display system and a computer-readable recording medium thereof are provided, where the method includes the following steps. While the user is wearing a first apparel, images of the user are continuously captured by using an image capturing device to generate a first image sequence, wherein each first image that forms the first image sequence respectively corresponds to a different pose of the user. While the user is wearing a second apparel, images of the user are continuously captured by using the image capturing device. When a second comparison image corresponding to a specific pose of the user is captured by the image capturing device, a first comparison image corresponding to the specific pose is searched from the first image sequence, and the first comparison image and the second comparison image are simultaneously displayed on a screen.

Abstract: A display method, a system and a computer-readable recording medium thereof are provided, where the method includes the following steps. An image of a user in front of a screen is captured by using an image capturing device to generate a user image. A foreground region and a background region in the user image are distinguished by using a depth sensor. A virtual window is set on a display area of the screen according to its display size. Human face detection is performed on the foreground region to obtain plane information of the human face, and depth information of the human face is obtained by using the depth sensor. A background image is generated based on the background region according to the virtual window, the plane information and the depth information of the human face. The foreground region is combined with the background image to generate an output image.

Abstract: A gesture recognition method and an gesture recognition apparatus using the same method are proposed. The method includes the following steps: transmitting an infrared signal, and detecting whether an object appears in a predetermined range based on a first infrared signal retrieved from the infrared signal being reflected; when the object appears in the predetermined range, capturing a plurality of images including the object and a plurality of second infrared signals retrieved from the infrared signal being reflected; and recognizing the images to retrieve a horizontal movement direction of a gesture of the object within the predetermined range, and recognizing the second infrared signals to retrieve a depth movement direction of the gesture within the predetermined range.

Abstract: The present disclosure provides a three-dimensional image display apparatus, which includes a first reflecting plate and a display unit. The first reflecting plate corresponds to a first visual angle, has a first reflecting surface, and is made of a translucent material. The display unit receives a first color-depth image corresponding to the first visual angle, and projects the first color-depth image to the first reflecting surface to form a virtual image. The display unit also has a first side, which is used to display the first color-depth image, and a predetermined angle is formed between the first side and the first reflecting surface.

Abstract: A gesture recognition method and an gesture recognition apparatus using the same method are proposed. The method includes the following steps: transmitting an infrared signal, and detecting whether an object appears in a predetermined range based on a first infrared signal retrieved from the infrared signal being reflected; when the object appears in the predetermined range, capturing a plurality of images including the object and a plurality of second infrared signals retrieved from the infrared signal being reflected; and recognizing the images to retrieve a horizontal movement direction of a gesture of the object within the predetermined range, and recognizing the second infrared signals to retrieve a depth movement direction of the gesture within the predetermined range.