A computer implemented scheme for a light detection and ranging (LIDAR) system where point cloud feature extraction and segmentation by efficiently is achieved by: (1) data structuring; (2) edge detection; and (3) region growing.

The present disclosure relates to a method for expanding an image database for evaluation of eyewear compatibility. In particular, the present disclosure relates to a method, comprising receiving a user image, receiving a frame image, processing the received frame image by setting, as transparent, pixels of the received frame image except for an anterior face of the frame, defining, within the processed frame image, a left boundary and a right boundary of the anterior face of the frame, the left boundary and the right boundary corresponding to the left eye and the right eye, respectively, receiving a filter image, processing the received filter image by setting, as transparent, pixels in the received filter image outside the frame based on the left boundary and the right boundary, merging the processed frame image and the processed filter image, and overlaying the merged image onto the received user image.

The present disclosure relates to a method for expanding an image database for evaluation of eyewear compatibility. In particular, the present disclosure relates to a method, comprising receiving a user image, receiving a frame image, processing the received frame image by setting, as transparent, pixels of the received frame image except for an anterior face of the frame, defining, within the processed frame image, a left boundary and a right boundary of the anterior face of the frame, the left boundary and the right boundary corresponding to the left eye and the right eye, respectively, receiving a filter image, processing the received filter image by setting, as transparent, pixels in the received filter image outside the frame based on the left boundary and the right boundary, merging the processed frame image and the processed filter image, and overlaying the merged image onto the received user image.

A method and an apparatus for generating a video with a three-dimensional (3D) effect, a method and an apparatus for playing a video with a 3D effect, and a device are provided. The method includes: obtaining an original video; segmenting at least one frame of raw image of the original video to obtain a foreground image sequence including a moving object, the foreground image sequence including at least one frame of foreground image; determining, based on the foreground image sequence, a target raw image in which a target occlusion image is to be placed and an occlusion method of the target occlusion image in the target raw image; adding the target occlusion image to the target raw image based on the occlusion method to obtain a final image; and generating a target video with a 3D effect based on the final image and the original video.

A method and an apparatus for generating a video with a three-dimensional (3D) effect, a method and an apparatus for playing a video with a 3D effect, and a device are provided. The method includes: obtaining an original video; segmenting at least one frame of raw image of the original video to obtain a foreground image sequence including a moving object, the foreground image sequence including at least one frame of foreground image; determining, based on the foreground image sequence, a target raw image in which a target occlusion image is to be placed and an occlusion method of the target occlusion image in the target raw image; adding the target occlusion image to the target raw image based on the occlusion method to obtain a final image; and generating a target video with a 3D effect based on the final image and the original video.

Methods and systems for imaging and analysis are described. Accurate pressure ulcer measurement is critical in assessing the effectiveness of treatment. However, the traditional measuring process is subjective. Each health care provider may measure the same wound differently, especially related to the depth of the wound. Even the same health care provider may obtain inconsistent measurements when measuring the same wound at different times. Also, the measuring process requires frequent contact with the wound, which increases risk of contamination or infection and can be uncomfortable for the patient. The present application describes a new automatic pressure ulcer monitoring system (PrUMS), which uses a tablet connected to a 3D scanner, to provide an objective, consistent, non-contact measurement method. The present disclosure combines color segmentation on 2D images and 3D surface gradients to automatically segment the wound region for advanced wound measurements.

Methods and systems for imaging and analysis are described. Accurate pressure ulcer measurement is critical in assessing the effectiveness of treatment. However, the traditional measuring process is subjective. Each health care provider may measure the same wound differently, especially related to the depth of the wound. Even the same health care provider may obtain inconsistent measurements when measuring the same wound at different times. Also, the measuring process requires frequent contact with the wound, which increases risk of contamination or infection and can be uncomfortable for the patient. The present application describes a new automatic pressure ulcer monitoring system (PrUMS), which uses a tablet connected to a 3D scanner, to provide an objective, consistent, non-contact measurement method. The present disclosure combines color segmentation on 2D images and 3D surface gradients to automatically segment the wound region for advanced wound measurements.

To easily evaluate the performance of an earphone-type device used for otoacoustic authentication at low cost.

A generation unit (31) generates earhole shape data indicating the three-dimensional shape of an individual's ear canal, on the basis of data on the internal structure of an individual's earhole, a center line calculation unit (32) calculates the center line of the ear canal, on the basis of the ear canal shape data, and a dividing unit (33) divides the ear canal into a plurality of layers perpendicular to the center line, and calculates, for each of the divided layers, parameters indicating the shape of the ear canal.

A computing system (118) includes a computer readable storage medium (122) with computer executable instructions (124), including a biophysical simulator (126) and an electrocardiogram signal analyzer (128). The computing system further includes a processor (120) configured to execute the electrocardiogram signal analyzer determine myocardial infarction characteristics from an input electrocardiogram and to execute the biophysical simulator to simulate a fractional flow reserve or an instant wave-free ratio index from input cardiac image data and the determined myocardial infarction characteristics.

A computing system (118) includes a computer readable storage medium (122) with computer executable instructions (124), including a biophysical simulator (126) and an electrocardiogram signal analyzer (128). The computing system further includes a processor (120) configured to execute the electrocardiogram signal analyzer determine myocardial infarction characteristics from an input electrocardiogram and to execute the biophysical simulator to simulate a fractional flow reserve or an instant wave-free ratio index from input cardiac image data and the determined myocardial infarction characteristics.