System and method for improving the shaving experience by providing improved visibility of the skin shaving area. A digital camera is integrated with the electric shaver for close image capturing of shaving area, and displaying it on a display unit. The display unit can be integral part of the electric shaver casing, or housed in a separated device which receives the image via a communication channel. The communication channel can be wireless (using radio, audio or light) or wired, such as dedicated cabling or using powerline communication. A light source is used to better illuminate the shaving area. Video compression and digital image processing techniques are used for providing for improved shaving results. The wired communication medium can simultaneously be used also for carrying power from the electric shaver assembly to the display unit, or from the display unit to the electric shaver.

Methods and apparatus for supporting zoom operations using a plurality of optical chain modules, e.g., camera modules, are described. Switching between use of groups of optical chains with different focal lengths is used to support zoom operations. Digital zoom is used in some cases to support zoom levels corresponding to levels between the zoom levels of different optical chain groups or discrete focal lengths to which optical chains may be switched. In some embodiments optical chains have adjustable focal lengths and are switched between different focal lengths. In other embodiments optical chains have fixed focal lengths with different optical chain groups corresponding to different fixed focal lengths. Composite images are generated from images captured by multiple optical chains of the same group and/or different groups. Composite image is in accordance with a user zoom control setting. Individual composite images may be generated and/or a video sequence.

Methods and apparatus for supporting zoom operations using a plurality of optical chain modules, e.g., camera modules, are described. Switching between use of groups of optical chains with different focal lengths is used to support zoom operations. Digital zoom is used in some cases to support zoom levels corresponding to levels between the zoom levels of different optical chain groups or discrete focal lengths to which optical chains may be switched. In some embodiments optical chains have adjustable focal lengths and are switched between different focal lengths. In other embodiments optical chains have fixed focal lengths with different optical chain groups corresponding to different fixed focal lengths. Composite images are generated from images captured by multiple optical chains of the same group and/or different groups. Composite image is in accordance with a user zoom control setting. Individual composite images may be generated and/or a video sequence.

An apparatus comprises a camera and one or more sensors. The camera generally has a low power deactivated mode. The one or more sensors are generally remotely located with respect to the camera. The one or more sensors may be configured to communicate a signal to the camera in response to a trigger condition. The camera is generally configured to activate in response to receiving the signal from the one or more sensors.

A networked computer system for recognizing objects in video images is described herein. The networked computer system includes a user display device, a camera, and an object recognition system. The camera includes an imaging device having a 360° field-of-view and a global positioning system (GPS) device. The object recognition system includes a processor programmed to execute an algorithm including receiving live-stream video images from the camera, detecting an object of interest within the live-stream video images, determining pixel coordinates associated with a center of the detected object of interest, receiving the geographic location data from the camera, determining a geographic location of the object of interest based on the determined pixel coordinates and the geographic location of the camera, and displaying the live-stream video images on the user display device including a visual indicator of the object of interest and the determined geographic location of the object of interest.

A networked computer system for recognizing objects in video images is described herein. The networked computer system includes a user display device, a camera, and an object recognition system. The camera includes an imaging device having a 360° field-of-view and a global positioning system (GPS) device. The object recognition system includes a processor programmed to execute an algorithm including receiving live-stream video images from the camera, detecting an object of interest within the live-stream video images, determining pixel coordinates associated with a center of the detected object of interest, receiving the geographic location data from the camera, determining a geographic location of the object of interest based on the determined pixel coordinates and the geographic location of the camera, and displaying the live-stream video images on the user display device including a visual indicator of the object of interest and the determined geographic location of the object of interest.

The disclosed system may include a housing dimensioned to secure various components including at least one physical processor and various sensors. The system may also include a camera mounted to the housing, as well as physical memory with computer-executable instructions that, when executed by the physical processor, cause the physical processor to: acquire images of a surrounding environment using the camera mounted to the housing, identify features of the surrounding environment from the acquired images, generate a map using the features identified from the acquired images, access sensor data generated by the sensors, and determine a current pose of the system in the surrounding environment based on the features in the generated map and the accessed sensor data. Various other methods, apparatuses, and computer-readable media are also disclosed.

The present disclosure relates to a method for generating a panoramic surround view image of a vehicle, comprising: acquiring actual original images of external environment of a first part and a second part of the vehicle hinged to each other; processing the actual original images to obtain respective actual independent surround view images of the first part and the second part; obtaining coordinates of respective hinge points of the first part and the second part; determining matched feature point pairs in the actual independent surround view images of the first part and the second pan; calculating a distance between two points in each matched feature point pair accordingly, and taking matched feature point pairs with the distance less than a preset first threshold as a successfully matched feature point pairs; and taking a rotation angle corresponding to the maximum number of the successfully matched feature point pairs as a candidate rotation angle of the first part relative to the second part. The present disclosure further provides a device for generating a panoramic surround view image of a vehicle and an intelligent vehicle.

Images subject to panoramic image stitching are analyzed for suitability in three dimensional construction. Effects of translation changes between cameras are mitigated. The dioptric relationship of subject content of the images to the camera set identifies camera translation changes, and eligible camera position inputs, permissible to avoid parallax errors. Images within permissible ranges of each other are stitched to create panoramic images of subject content that a camera cannot fully capture with a single image. Registration plane selection based on translation distances between cameras, and permissible translation changes based on detected subject content depth are disclosed.

Images subject to panoramic image stitching are analyzed for suitability in three dimensional construction. Effects of translation changes between cameras are mitigated. The dioptric relationship of subject content of the images to the camera set identifies camera translation changes, and eligible camera position inputs, permissible to avoid parallax errors. Images within permissible ranges of each other are stitched to create panoramic images of subject content that a camera cannot fully capture with a single image. Registration plane selection based on translation distances between cameras, and permissible translation changes based on detected subject content depth are disclosed.