Abstract: A dust bin and a vacuum cleaner combination provided with the dust bin are provided. The dust bin includes a dust chamber, a dust inlet detachably connected to a dust suction apparatus, and a sealing structure for implementing the sealing between the dust suction apparatus and the dust bin. The dust suction apparatus has a dust outlet joined to the dust inlet. The vacuum cleaner combination includes a dust suction apparatus and a dust bin detachably connected to the dust suction apparatus. The dust suction apparatus has a housing and a dust cup assembly connected to the housing. The dust cup assembly includes a cup body and a filter apparatus disposed in the cup body. Compared with the prior art, in the present invention, a detachable multi-purpose dust bin with a simple structure is disposed, so that the dust collection chamber of the vacuum cleaner is flexibly increased.

Abstract: A method with object tracking includes: determining a first target tracking state by tracking a target from a first image frame with a first field of view (FoV); determining a second FoV based on the first FoV and the first target tracking state; and generating a second target tracking result by tracking a target from a second image frame with the second FoV.

Abstract: A target object detection method and apparatus are provided. The target object detection method and apparatus are applicable to fields such as artificial intelligence, object tracking, object detection, and image processing. An object is detected from a frame image of a video including a plurality of frame images based on a target template set including one or more target templates.

Abstract: This disclosure provides an image recommendation method, a client, a server, a computer system and a medium. The method includes acquiring an image, sending the acquired image to a server, such that the server extracts a scale invariant feature of the acquired image and performs retrieval of identical images according to the scale invariant feature of the acquired image, and such that the server extracts a multi-scale feature of the acquired image and performs retrieval of similar images according to the multi-scale feature of the acquired image, and receiving at least one recommended image. The at least one recommended image is based on result of the identical image retrieval and result of the similar image retrieval.

Abstract: A compensation method for VR display, a compensation device for VR display, and a display device are provided. The compensation method for VR display includes: calculating a first synchronization signal value to be output by a controller according to a rendering resolution, a rendering frame rate and bandwidth data of a display panel; comparing the first synchronization signal value with a pre-stored second synchronization signal value of the display panel; generating compensation image data between two adjacent frames of original image data in a case where a comparison result shows that the first synchronization signal value is greater than the second synchronization signal value; and compensating an image to be displayed according to generated compensation image data.

Abstract: A positioning method, a positioning device, a positioning system, a storage medium, and a construction method for an offline map database. The positioning method includes: obtaining a current image information, and extracting a visual feature in the current image information; matching the visual feature in the current image information with a key frame in an offline map database, and determining a candidate key frame similar to the visual feature in the current image information, wherein the offline map database is generated based on a global grid map and a visual map; and determining a pose corresponding to the candidate key frame, and converting the pose to coordinate values.

Abstract: Some embodiments of the present disclosure provide a method for determining a recommended product, including steps of: acquiring an image of a user; determining at least one appearance attribute of the user according to the image of the user; determining appearance grade information of the user according to the at least one appearance attribute of the user; and determining a corresponding recommended product according to the appearance grade information of the user. Some embodiments of the present disclosure also provide an electronic apparatus and a non-transitory computer-readable storage medium.

Abstract: A method for positioning a supermarket shopping cart, a system for positioning a supermarket shopping cart and a supermarket shopping cart. A method for positioning a supermarket shopping cart provided by the present disclosure includes: acquiring a first reference image of a supermarket, and processing a first reference image to obtain a partition in which a shopping cart is located as a positioning partition, in which the supermarket comprises a plurality of partitions; receiving distance information sent by at least one signal transmitter provided in the positioning partition, in which each partition is provided with at least one signal transmitter; and obtaining a first positioning position of the shopping cart, according to distance information sent by at least one signal transmitter corresponding to the positioning partition, and determining an actual position of the shopping cart based on the first positioning position of the shopping cart.

Abstract: A computer-implemented method of detecting a foreign object on a background object in a sample image is provided. The computer-implemented method includes extracting image features of the sample image; detecting a salient region in the sample image; and segmenting the salient region to determine a contour of a foreign object region based on results of segmenting the salient region. Segmenting the salient region is performed by an automatic Grabcut operation without user interaction.

Abstract: A computer-implemented method of detecting a foreign object on a background object in an image is provided. The computer-implemented method includes extracting image features of the image based on image characteristics of the background object and a suspected foreign object; detecting a salient region in the image based on a human visual attention model; generating a salient region mask based on detection of the salient region; obtaining the image features in a region surrounded by the salient region mask; perforating feature combination and feature vector length normalization on the image features of the region surrounded by the salient region mask to generate normalized feature vectors; and identifying the suspected foreign object using an image classifier, wherein the image classifier uses the normalized feature vectors as input for identifying the suspected foreign object.

Abstract: A processor-implemented liveness detection method includes: obtaining an initial image using a dual pixel sensor; obtaining a left image and a right image from the initial image; and detecting liveness of an object included in the initial image using the left image and the right image.

Abstract: The present disclosure provides a method and a device for determining a region to be cleaned, a dust cleaning apparatus, a terminal for controlling a cleaning robot, and a storage medium. The method includes: determining, in an initial image of a photovoltaic panel, a gap region associated with a gap between cell pieces; assigning first preset values to pixel values of pixels located in the gap region of the initial image to obtain a first value-assigned image, wherein the first preset values are pixel values of pixels in the initial image that correspond to the cell pieces.

Abstract: A liveness test method and apparatus is disclosed. The liveness test method includes detecting a face region in an input image for a test target, implementing a first liveness test to determine a first liveness value based on a first image corresponding to the detected face region, implementing a second liveness test to determine a second liveness value based on a second image corresponding to a partial face region of the detected face region, implementing a third liveness test to determine a third liveness value based on an entirety of the input image or a full region of the input image that includes the detected face region and a region beyond the detected face region, and determining a result of the liveness test based on the first liveness value, the second liveness value, and the third liveness value.

Abstract: The present disclosure discloses an indoor positioning method, an indoor positioning system, an indoor positioning apparatus and a computer readable medium. The indoor positioning method includes: determining an initial position of a target object using combination of wireless positioning and visual feature map matching positioning; and according to the initial position of the target object, performing real-time positioning on the target object using combination of short-time interframe feature matching positioning and the visual feature map matching positioning.

Abstract: A liveness test method and apparatus is disclosed. The liveness test method includes detecting a face region in an input image for a test target, implementing a first liveness test to determine a first liveness value based on a first image corresponding to the detected face region, implementing a second liveness test to determine a second liveness value based on a second image corresponding to a partial face region of the detected face region, implementing a third liveness test to determine a third liveness value based on an entirety of the input image or a full region of the input image that includes the detected face region and a region beyond the detected face region, and determining a result of the liveness test based on the first liveness value, the second liveness value, and the third liveness value.

Abstract: The present embodiment discloses a hand-held tool and a clamping device thereof. The clamping device of a hand-held tool includes: a mounting base; a clamping unit configured to fasten a working tool in an axial direction; and an operation assembly, including an operating member and a driving member, where the operating member is capable of performing compound motion relative to the mounting base, and the operating member is operable to drive the driving member to selectively mate with and disengage from the clamping unit. In this way, the hand-held tool of the present embodiment has the clamping device. By way of compound motion, not only comfort of operation can be achieved, but also parts can be saved, thereby making the structure simpler and more reliable.

Abstract: Disclosed is a liveness test method and apparatus. A liveness test apparatus determines a pre-liveness score based on a plurality of sub-images acquired from an input image, determines a post-liveness score based on a recognition model for recognizing an object included in the input image, and determines a liveness of the object based on any one or any combination of the pre-liveness score and the post-liveness score.

Abstract: Disclosed are an image retrieval method, an image retrieval apparatus, an image retrieval device and a computer-readable storage medium, wherein the image retrieval method including: extracting global features of an input image and obtaining a global feature code based on the global features; extracting content features of the input image and obtaining a content feature code based on the content features; splicing the global feature code with the content feature code to obtain a composite feature code of the input image; comparing the composite feature code with alternative feature codes in a feature code library to obtain an image retrieval result. By comprehensively considering the global features and the content features of the input image in the image retrieval process, the accuracy and retrieval efficiency of the retrieval results can be improved.

Abstract: Provided is a liveness verification method and device. A liveness verification device acquires a first image and a second image, and select one or more liveness models based on respective analyses of the first image and the second image, including analyses based on an object part being detected in the first image and/or the second image, and to verify, using the selected one or more liveness models, a liveness of the object based on the first image and/or the second image. The first image may be a color image and the second image may be an Infrared image.

Abstract: A compensation method for VR display, a compensation device for VR display, and a display device are provided. The compensation method for VR display includes: calculating a first synchronization signal value to be output by a controller according to a rendering resolution, a rendering frame rate and bandwidth data of a display panel; comparing the first synchronization signal value with a pre-stored second synchronization signal value of the display panel; generating compensation image data between two adjacent frames of original image data in a case where a comparison result shows that the first synchronization signal value is greater than the second synchronization signal value; and compensating an image to be displayed according to generated compensation image data.