A leg (205) detection system comprising: a robotic arm (200) comprising a gripping portion (208) for holding a teat cup (203, 210) for attaching to a teat (1102, 1104, 1106, 1108, 203S, 203) of a dairy livestock (200, 202, 203); an imaging system coupled to the robotic arm (200) and configured to capture a first three-dimensional (3D) image (138, 2400, 2500) of a rearview of the dairy livestock (200, 202, 203) in a stall (402), the imaging system comprising a 3D camera (136, 138) or a laser (132), wherein each pixel of the first 3D image (138, 2400, 2500) is associated with a depth value; one or more memory (104) devices configured to store a reference (3D) 3D image (138, 2400, 2500) of the stall (402) without any dairy livestock (200, 202, 203); and a processor (102) communicatively coupled to the imaging system and the one or more memory (104) devices, the processor (102) configured to: access the first 3D image (138, 2400, 2500) and the reference (3D) 3D image (138, 2400, 2500); subtract the first 3D image (138, 2400, 2500) from the reference (3D) 3D image (138, 2400, 2500) to produce a second 3D image (138, 2400, 2500); perform morphological image (138, 2400, 2500) processing on the second 3D image (138, 2400, 2500) to produce a third 3D image (138, 2400, 2500); perform image (138, 2400, 2500) thresholding on the third 3D image (138, 2400, 2500) to produce a fourth 3D image (138, 2400, 2500); cluster (2616, 2618, 2626, 2628) data from the fourth 3D image (138, 2400, 2500); identify, using the clustered data from the fourth 3D image (138, 2400, 2500), one or more legs (205) of the dairy livestock (200, 202, 203); and provide instructions for movements of the robotic arm (200) to avoid the identified one or more legs (205) while attaching the teat cup (203, 210) to the teat (1102, 1104, 1106, 1108, 203S, 203) of the dairy livestock (200, 202, 203).

The techniques described herein relate to methods, apparatus, and computer readable media configured to determine parameters for image acquisition. One or more image sensors are each arranged to capture a set of images of a scene, and each image sensor comprises a set of adjustable imaging parameters. A projector is configured to project a moving pattern on the scene, wherein the projector comprises a set of adjustable projector parameters. The set of adjustable projector parameters and the set of adjustable imaging parameters are determined, based on a set of one or more constraints, to reduce noise in 3D data generated based on the set of images.

Discrete frequencies and time slots of operation are assigned to each of a plurality of time-of-flight cameras. Where two time-of-flight cameras having overlapping fields of view, whether the time-of-flight cameras are operating at the same frequency or time slot is determined by calculating ratios of zero-value pixels to total numbers of pixels for each depth image captured by the time-of-flight cameras over a selected interval. If the time-of-flight cameras operate at the same frequency or time slot, a plot of the ratios of depth images captured using one time-of-flight camera is erratically sinusoidal. Another time-of-flight camera causing the interference may be identified among time-of-flight cameras operating at the frequency or time slot, based on areas of interest that overlap with the time-of-flight camera, or based on a time at which the time-of-flight cameras began capturing depth images, as compared to a time at which the interference is observed.

Discrete frequencies and time slots of operation are assigned to each of a plurality of time-of-flight cameras. Where two time-of-flight cameras having overlapping fields of view, whether the time-of-flight cameras are operating at the same frequency or time slot is determined by calculating ratios of zero-value pixels to total numbers of pixels for each depth image captured by the time-of-flight cameras over a selected interval. If the time-of-flight cameras operate at the same frequency or time slot, a plot of the ratios of depth images captured using one time-of-flight camera is erratically sinusoidal. Another time-of-flight camera causing the interference may be identified among time-of-flight cameras operating at the frequency or time slot, based on areas of interest that overlap with the time-of-flight camera, or based on a time at which the time-of-flight cameras began capturing depth images, as compared to a time at which the interference is observed.

A wallpaper system presents a first wallpaper image of a wallpaper video to a user and receives, via a user input device, one or both of: (i) a spatial user input selection, and (ii) a time user input selection from the user to apply to the wallpaper video. In response to detecting one or both of: (i) the spatial user input selection, and (ii) the time user input selection, the wallpaper system determines one or both of: (i) a respective spatial movement parameter within a wallpaper video associated with the spatial user input selection, and (ii) a respective time coordinate within the wallpaper video associated with the time user input selection. Wallpaper system presents, via the image display, a second wallpaper image associated with one or both of: (i) the respective spatial movement parameter, and (ii) the respective time coordinate.

A method for controlling a laser profiler, the laser profiler being configured for generating a laser line on a surface to be inspected, the method comprising: receiving an image of the laser line; determining an actual intensity of the laser line; calculating an amplification factor for the laser line based on the actual intensity of the laser line, a target intensity for the laser line, a power of the laser, a camera gain of the camera and an exposure time of the laser line on the surface to be inspected, the amplification factor allowing the actual intensity of the laser line to reach the target intensity while minimizing the power of the laser; and based on the calculated amplification factor, adjusting at least one parameter of the laser profiler so that the actual intensity of the laser line corresponds to the target intensity.

A method for controlling a laser profiler, the laser profiler being configured for generating a laser line on a surface to be inspected, the method comprising: receiving an image of the laser line; determining an actual intensity of the laser line; calculating an amplification factor for the laser line based on the actual intensity of the laser line, a target intensity for the laser line, a power of the laser, a camera gain of the camera and an exposure time of the laser line on the surface to be inspected, the amplification factor allowing the actual intensity of the laser line to reach the target intensity while minimizing the power of the laser; and based on the calculated amplification factor, adjusting at least one parameter of the laser profiler so that the actual intensity of the laser line corresponds to the target intensity.

A depth camera assembly (DCA) includes a light generator emitting a beam of light into a local area and a detector. The detector captures light from the beam reflected by objects in the local area to a portion of an array of pixels that each include a single photon avalanche diode (SPAD). The location of the portion of the array is based in part on the angle of the beam emitted from the projector. The DCA identifies a set of pixels of the array corresponding to the portion and selectively retrieves current generated from the reflected light by the pixels in the portion of the array without retrieving current generated by pixels in other portions of the array.

Detection of three dimensional obstacles using a system mountable in a host vehicle including a camera connectible to a processor. Multiple image frames are captured in the field of view of the camera. In the image frames, an imaged feature is detected of an object in the environment of the vehicle. The image frames are portioned locally around the imaged feature to produce imaged portions of the image frames including the imaged feature. The image frames are processed to compute a depth map locally around the detected imaged feature in the image portions. Responsive to the depth map, it is determined if the object is an obstacle to the motion of the vehicle.

Detection of three dimensional obstacles using a system mountable in a host vehicle including a camera connectible to a processor. Multiple image frames are captured in the field of view of the camera. In the image frames, an imaged feature is detected of an object in the environment of the vehicle. The image frames are portioned locally around the imaged feature to produce imaged portions of the image frames including the imaged feature. The image frames are processed to compute a depth map locally around the detected imaged feature in the image portions. Responsive to the depth map, it is determined if the object is an obstacle to the motion of the vehicle.