Mobile phones and other portable devices are equipped with a variety of technologies by which existing functionality can be improved, and new functionality can be provided. Some aspects relate to visual search capabilities, and determining appropriate actions responsive to different image inputs. Others relate to processing of image data. Still others concern metadata generation, processing, and representation. Yet others concern user interface improvements. Other aspects relate to imaging architectures, in which a mobile phone's image sensor is one in a chain of stages that successively act on packetized instructions/data, to capture and later process imagery. Still other aspects relate to distribution of processing tasks between the mobile device and remote resources (“the cloud”). Elemental image processing (e.g., simple filtering and edge detection) can be performed on the mobile phone, while other operations can be referred out to remote service providers. The remote service providers can be selected using techniques such as reverse auctions, through which they compete for processing tasks. A great number of other features and arrangements are also detailed.

Mobile phones and other portable devices are equipped with a variety of technologies by which existing functionality can be improved, and new functionality can be provided. Some aspects relate to visual search capabilities, and determining appropriate actions responsive to different image inputs. Others relate to processing of image data. Still others concern metadata generation, processing, and representation. Yet others concern user interface improvements. Other aspects relate to imaging architectures, in which a mobile phone's image sensor is one in a chain of stages that successively act on packetized instructions/data, to capture and later process imagery. Still other aspects relate to distribution of processing tasks between the mobile device and remote resources (“the cloud”). Elemental image processing (e.g., simple filtering and edge detection) can be performed on the mobile phone, while other operations can be referred out to remote service providers. The remote service providers can be selected using techniques such as reverse auctions, through which they compete for processing tasks. A great number of other features and arrangements are also detailed.

A wearable computing device, including a device body configured to be affixed to a body of a user. The wearable computing device may further include an inertial measurement unit (IMU) and a processor. The processor may receive kinematic data from the IMU while the device body is affixed to the body of the user. The processor may perform a first coordinate transformation on the kinematic data into a training coordinate frame of a training wearable computing device. At a first machine learning model trained using training data including training kinematic data collected at the training wearable computing device, the processor may compute a training-frame velocity estimate for the wearable computing device based on the transformed kinematic data. The processor may perform a second coordinate transformation on the training-frame velocity estimate to obtain a runtime-frame velocity estimate and may output the runtime-frame velocity estimate to a target program.

An electronic device may include a display layer including light transmissive portions and non-transmissive portions. The electronic device may also include a palm biometric image sensor layer beneath the display layer and configured to sense an image of a user's palm positioned above the display layer based upon light reflected from the user's palm passing through the light transmissive portions of the display layer. The electronic device may further include a controller configured to capture image data from the user's palm in cooperation with the palm biometric image sensor layer and determine a surface distortion of the user's palm based upon the image data. The controller may also be configured to perform a biometric authentication of the user's palm based upon the image data and the surface distortion.

Disclosed in some examples are devices, methods, systems, and machine-readable mediums for enhanced meeting room solutions to provide increased inclusiveness for both remote and in-room participants for network-based communication sessions, such as hybrid network-based communication sessions. Content of a first type is placed in a location exclusive of a discontinuity in a display device and content of a second type is placed in a location inclusive of the discontinuity of the display device.

Disclosed in some examples are devices, methods, systems, and machine-readable mediums for enhanced meeting room solutions to provide increased inclusiveness for both remote and in-room participants for network-based communication sessions, such as hybrid network-based communication sessions. Content of a first type is placed in a location exclusive of a discontinuity in a display device and content of a second type is placed in a location inclusive of the discontinuity of the display device.

In one embodiment, a method includes a computer system accessing a curvilinear image captured using a camera lens, generating multiple rectilinear images from the curvilinear image based at least in part on one or more calibration parameters associated with the camera lens, identifying semantic information in one or more of the rectilinear images by processing each of the multiple rectilinear images using a machine-learning model configured to identify semantic information in rectilinear images, and identifying semantic information in the curvilinear image based on the identified semantic information in the one or more rectilinear images.

The present invention relates to a robust method for optical recognition of markers in an outdoor environment. In this context, the present invention provides a method for optical recognition of optical markers comprising the steps of: acquiring an image; identifying regions of contiguous colours in the image by flood filling; extracting data and parameters of the contiguous regions; and detecting an optical marker by means of a convex hull algorithm and prediction of position of squares based on the data and parameters extracted from the contiguous Thus, the method of the present invention allows identification of markers, such as chequerboards and targets, unequivocally and with enough robustness as regards partial occlusions and variations of illumination.

A magnetic stimulation system may include first and second subsystems. The first subsystem may include a first stimulator, a first coil, and a first processor configured to determine stimulation parameter data for a subject. The second subsystem may include a second stimulator, a headpiece including an identifier and a second coil mounted to a headpiece body at a fixed location, an image recording device, and a second processor configured to: receive first image data for one or more first images of the subject and headpiece; receive, from the image recording device, second image data for one or more second images of the subject and headpiece; determine, using the first and second image data, that the stimulation parameter data corresponds to the subject; determine, using the second image data, that the headpiece corresponds to the subject; and determine, using the second image data, that the headpiece is at a pre-determined position.

A method for object monitoring of a rail vehicle using a video monitoring system includes capturing a measurement signal of a video camera and determining image data of an environment of a vehicle interior according to the captured measurement signal. A piece of luggage in the vehicle interior is identified according to the determined image data. The identified piece of luggage is personalized. A manipulation of the identified piece of luggage is determined according to a predefined manipulation condition. A notification signal is sent according to the determined manipulation and according to the personalizing of the identified piece of luggage. A device for operating a video monitoring system for a rail vehicle for object monitoring and a rail vehicle are also provided.