Abstract: An image processing device acquires at least two first images and at least two second images, where a resolution of the at least two first images is a first resolution, a resolution of the at least two second images is a second resolution, and the second resolution is lower than the first resolution. By using the at least two first images and the at least two second images, the image processing device respectively determines a first depth map corresponding to the at least two first images under a limit of a first disparity threshold, and a second depth map corresponding to the at least two second images under a limit of a second disparity threshold, where the second disparity threshold is greater than the first disparity threshold. The image processing device then combines the determined first depth map with the second depth map to generate a combined depth map.

Abstract: Various embodiments of the present technology generally relate to encoding techniques. More specifically, some embodiments relate to encoding techniques for screen data. Intra block copy (IntraBC) using motion compensation within a frame (not between frames) is very useful for encoding data captured from screen. Unfortunately, this tool is not included in most of video coding standards, including the base version of HEVC (i.e., H.265). Various embodiments of the present technology utilize encoding techniques to simulate IntraBC with compliant syntax. For example, embodiments divide a high-resolution frame into smaller areas and then encode these areas independently as if these smaller areas were independent frames.

Abstract: When encoding/decoding a current block of a current picture using intra block copy (“BC”) prediction, the location of a reference block is constrained so that it can be entirely within an inner search area of the current picture or entirely within an outer search area of the current picture, but cannot overlap both the inner search area and the outer search area. In some hardware-based implementations, on-chip memory buffers sample values of the inner search area, and off-chip memory buffers sample values of the outer search area. By enforcing this constraint on the location of the reference block, an encoder/decoder can avoid memory access operations that are split between on-chip memory and off-chip memory when retrieving the sample values of the reference block. At the same time, a reference block close to the current block may be used for intra BC prediction, helping compression efficiency.

Abstract: A method for processing image data captured by an imaging device borne on a movable object includes receiving a plurality of trigger events each corresponding to an operational condition variation detected by a first sensing device borne on the movable object, identifying, among a sequence of image frames captured by the imaging device, a plurality of image frames of interest each determined by one of the plurality of trigger events, and adaptively selecting, from the sequence of image frames, a set of image frames in accordance with a comparison of a plurality of temporally adjacent image frames of the plurality of image frames of interest.

Abstract: An image depth estimation method includes detecting a weak texture area of a target image, calculating depths of feature points of the weak texture area, performing fitting based on the feature points to obtain a depth plane, and calculating depths of pixel points of the weak texture area based on the depth plane. The depths of feature points of the weak texture area are calculated according to coordinates of the feature points of the weak texture area in the target image and in a reference image, and a camera attitude change of one or more camera devices between capturing the target image and capturing the reference image.

Abstract: Systems and methods for gateway communications between non-distributed ledger systems and distributed ledger systems are disclosed. In one embodiment, a method for gateway communication may include: (1) receiving, at a listener comprising a computer processor and from an application in a first domain, a message for a destination distributed ledger system that is one of a plurality of distributed ledger systems in a second domain; (2) generating, by the listener, a payload for the message, wherein the payload identifies the destination distributed ledger system for the message; and (3) encrypting, by the listener, the payload and passing a payload message comprising the encrypted payload to one of a plurality of adapters in a gateway communication service using an API. The adapter may receive the payload message, decrypt the payload, identifies the destination distributed ledger system, and communicate the decrypted payload to the destination distributed ledger system.

Abstract: A computer-implemented method includes detecting a change in a spatial configuration of a plurality of sensors coupled to an unmanned aerial vehicle (UAV) based on a first set of sensor data from a plurality of sensors, generating one or more calibration instructions to cause the UAV to move along a predetermined pattern in response to detecting the change in the spatial configuration, and determining a subsequent spatial configuration of the plurality of sensors based at least in part on a second set of sensor data from the plurality of sensors. The second set of sensor data is collected by the plurality of sensors when the UAV is moving along the predetermined pattern.

Abstract: The present disclosure provides a device for controlling a mobile platform. The device includes a processor; and a memory storing program instructions that, when being executed by the processor, cause the processor to receive an instruction to enter a point of interest (POI) circle mode; and enter the POI circle mode, the POI circle mode including a target determination phase, a target estimation phase, and a circling phase in sequence. The mobile platform determines a circling target during the target determination phase. The mobile platform detects a position of the circling target during the target estimation phase. The mobile platform circles the circling target based on the position of the circling target during the circling phase.

Abstract: An information processing method is provided for a first terminal. The method includes displaying, by the first terminal, first information and an interactive prompt corresponding to the first information; and detecting, by the first terminal, an interactive operation formed based on the interactive prompt to generate operation information of the interactive operation. The method also includes sending, by the first terminal, the generated operation information to a server; receiving response information sent by the server; displaying, by the first terminal, an interaction status based on the response information; receiving, by the first terminal, colleting-information for collecting at least one to-be-issued benefit sent by the server; and displaying, by the first terminal, the collecting-information. The collecting-information is sent when the server detects that the interaction status meets a preset interaction-completion condition.

Abstract: Automatic terrain evaluation of landing surfaces, and associated systems and methods are disclosed herein. A representative method includes receiving a request to land a movable object and, in response to the request, identifying a target landing area on a landing surface based on at least one image of the landing surface obtained by the movable object. The method can further include directing the movable object to land at the target landing area.

Abstract: A method of image processing includes obtaining depth information respectively corresponding to one or more objects in an image frame captured by an imaging system based on spatial configuration of the imaging system, calculating one or more rendering parameters associated with one of the one or more objects in the image frame based on at least the depth information of the one or more objects, and rendering the image frame using the one or more rendering parameters to obtain a processed image frame. The processed image frame includes an in-focus region and an out-of-focus region relative to the one of the one or more objects.

Abstract: The present disclosure provides an imaging method including building a 3D model of a target based on vision technology, the 3D model including 2D information of the target at different angles and 3D information corresponding to each piece of 2D information; controlling an unmanned aerial vehicle (UAV) the UAV to move around the target; acquiring real-time images captured by an imaging module on the UAV; and adjusting a flight trajectory of the UAV and/or an imaging direction of the imaging module based on the real-time images. The 2D information of the target are at different angles, and the 3D information correspond to each piece of 2D information.

Abstract: Techniques are disclosed for motion-based automatic image capture in a movable object environment Image data including a plurality of frames can be obtained and a region of interest in the plurality of frames can be identified. The region of interest may include a representation of one or more objects. Depth information for the one or more objects can be determined in a first coordinate system. A movement characteristic of the one or more objects may then be determined in the second coordinate system based at least on the depth information. One or more frames from the plurality of frames may then be identified based at least on the movement characteristic of the one or more objects.

Abstract: The present disclosure relates to a target detection method, including: determining a target object in a first image acquired by a first image acquisition device; estimating a position of the target object in a second image acquired by a second image acquisition device; determining whether an object at the second position is the same as the target object; and if yes, recording the second position as a position of the target object in the second image. According to the present disclosure, by estimating the position of the target object in the second image and determining whether the object at the second position is the same as the target object, a relationship between the first image acquisition device and the second image acquisition device can be established, and the second image acquisition device does not need to detect the target object in the second image again.

Abstract: The present disclosure discloses methods and apparatuses for wave recognition, and unmanned aerial vehicles. The method includes: extracting a first image acquired by an image acquisition apparatus at a first moment and a second image acquired by the image acquisition apparatus at a second moment; extracting a target region in each of the first image and the second image; comparing feature information of the target region in the first image with feature information of the target region in the second image; and determining whether the target region is a wave according to a result of the comparing of the feature information. The methods and apparatuses for wave recognition, and unmanned aerial vehicles recognize a wave in an image based on the change of feature information of a target region in the image at different times.

Abstract: A method for controlling an unmanned aerial vehicle (UAV) includes receiving, by a processor of the UAV, a plurality of images captured by an imaging device coupled to the UAV, identifying, by the processor, a target in at least one image of the plurality of images, determining, by the processor, whether the target is a stationary target or a moving target based on analyzing the plurality of images, and automatically effecting, by the processor, movement of the UAV based on determining the target is the stationary target or the moving target.

Abstract: An imaging device includes an image sensor, a fill light lamp, and a controller configured to obtain an automatic exposure parameter of the image sensor, and control an illumination intensity of the fill light lamp based on the automatic exposure parameter by adjusting the illumination intensity to a preset value when the automatic exposure parameter falls within an automatic exposure parameter range.

Abstract: When encoding/decoding a current block of a current picture using intra block copy (“BC”) prediction, the location of a reference block is constrained so that it can be entirely within an inner search area of the current picture or entirely within an outer search area of the current picture, but cannot overlap both the inner search area and the outer search area. In some hardware-based implementations, on-chip memory buffers sample values of the inner search area, and off-chip memory buffers sample values of the outer search area. By enforcing this constraint on the location of the reference block, an encoder/decoder can avoid memory access operations that are split between on-chip memory and off-chip memory when retrieving the sample values of the reference block. At the same time, a reference block close to the current block may be used for intra BC prediction, helping compression efficiency.

Abstract: A method for supporting target tracking includes obtaining a feature model for a target that represents imagery characteristics of the target, extracting one or more features from one or more images captured by an imaging device carried by a movable object, and applying the feature model on the one or more features to determine similarity between the one or more features and the feature model.