Abstract: A method for determining a pose of an object in a scene by determining a set of scene features from data acquired of the scene and matching the scene features to model features to generate weighted candidate poses when the scene feature matches one of the model features, wherein the weight of the candidate pose is proportional to the model weight. Then, the pose of the object is determined from the candidate poses based on the weights.

Abstract: A method semantically labels an image acquired of a scene by first obtaining a local semantic feature for each local region in the image. The local semantic features are combined recursively to form intermediate segments until a semantic feature for the entire image is obtained. Then, the semantic feature for the entire image is decombined recursively into intermediate segments until an enhanced semantic feature for each local region is obtained. Then, each local region is labeled according to the enhanced semantic feature.

Abstract: A method detects an object in a pair of stereo images acquired of a scene, by first generating a cost volume from the pair of stereo images, wherein the cost volume includes matching costs for a range of disparity values, for each pixel the stereo images, between the stereo images in the pair. Feature vectors are determined from sub-images in the cost volume using a feature function of the disparity values with a minimal accumulated cost within regions inside the sub-images. Then, a classifier is appled to the feature vectors to detect whether the sub-image includes the object.

Abstract: A method detects an object in a pair of stereo images acquired of a scene, by first generating a cost volume from the pair of stereo images, wherein the cost volume includes matching costs for a range of disparity values, for each pixel the sterao images, between the stereo images in the pair. Feature vectors are determined from sub-images in the cost volume using a feature function of the disparity values with a minimal accumulated cost within regions inside the sub-images. Then, a classifier is appled to the feature vectors to detect whether the sub-image includes the object.

Abstract: An electronic device enclosure includes a chassis defining an space, and a cover module. The chassis includes two opposite sidewalls locating at two sides of the space. The cover module includes a cover and a latching apparatus mounted to the cover. A first end of the cover is rotatably connected to first ends of the sidewalls, and the latching apparatus is mounted to a second end of the cover. A second end of one of the sidewalls defines a latching hole. The latching apparatus includes a latching member slidably mounted to the cover, a resilient member sandwiched between the latching member and the cover, and an operation member mounted to the latching member. The latching member includes a latching block. The resilient member biases the latching member to slide, to allow the latching block to latch in the latching hole.

Abstract: A resolution of a low resolution depth image is increased by applying joint geodesic upsampling to a high resolution image to obtain a geodesic distance map. Depths in the low resolution depth image are interpolated using the geodesic distance map to obtain a high resolution depth image. The high resolution image can be a gray scale or color image, or a binary boundary map. The low resolution depth image can be acquired by any type of depth sensor.

Abstract: A fixing device for fixing two connectors connected to each other includes two holding members and a connecting member connected between the holding members. Each holding member includes a connecting piece and two arms extending down from opposite ends of the connecting piece to sandwich one of the connectors.

Abstract: A resolution of a low resolution depth image is increased by applying joint geodesic upsampling to a high resolution image to obtain a geodesic distance map. Depths in the low resolution depth image are interpolated using the geodesic distance map to obtain a high resolution depth image. The high resolution image can be a gray scale or color image, or a binary boundary map. The low resolution depth image can be acquired by any type of depth sensor.

Abstract: A fan apparatus includes a bracket, a fan module installed in the bracket, and a cable management assembly. The bracket defines an opening. The fan module includes a connector received in the opening. The cable management assembly includes a cover detachably mounted to the bracket to cover the opening, and a cable management member installed on the cover. The connector is mounted on an inner side of the cover by the cable management member.

Abstract: A method for determining a pose of an object in a scene by determining a set of scene features from data acquired of the scene and matching the scene features to model features to generate weighted candiate poses when the scene feature matches one of the model features, wherein the weight of the candidate pose is proportional to the model weight. Then, the pose of the object is determined from the candidate poses based on the weights.

Abstract: A heat dissipation simulator of a component on a printed circuit board (PCB) includes a simulation board and a simulated heat source. The simulation board includes an iron layer and a plastic layer. The simulated heat source includes a simulation chip, a thermal, and a heat sink. The simulation chip, the thermal piece, and the heat sink are mounted on the simulation board in that order. The heat dissipation simulator replaces a sample of the PCB with the component for simulating working states of the component on the PCB.

Abstract: A pose of an object is estimated by first defining a set of pair features as pairs of geometric primitives, wherein the geometric primitives include oriented surface points, oriented boundary points, and boundary line segments. Model pair features are determined based on the set of pair features for a model of the object. Scene pair features are determined based on the set of pair features from data acquired by a 3D sensor, and then the model pair features are matched with the scene pair features to estimate the pose of the object.

Abstract: A server cabinet includes a cabinet body and an air blocking device. The air blocking device includes a frame and a foam body installed on the frame. The frame defines an opening. The foam body includes a first foam body and a second foam body connected with the first foam body. The junction of the first foam body and the second foam body is surrounded by the opening.

Abstract: An electronic device includes a chassis, an installation board, an expansion card mounted to a bottom surface of the installation board, and a fixing member. The chassis includes a motherboard forming a socket. The expansion card includes a connector engaged in the socket. The fixing member includes a movable portion including a bar. The movable portion is rotated to drive the bar to lift the installation board away from the motherboard, thereby disengaging the connector from the socket.

Abstract: An electronic device enclosure includes a chassis defining an space, and a cover module. The chassis includes two opposite sidewalls locating at two sides of the space. The cover module includes a cover and a latching apparatus mounted to the cover. A first end of the cover is rotatably connected to first ends of the sidewalls, and the latching apparatus is mounted to a second end of the cover. A second end of one of the sidewalls defines a latching hole. The latching apparatus includes a latching member slidably mounted to the cover, a resilient member sandwiched between the latching member and the cover, and an operation member mounted to the latching member. The latching member includes a latching block. The resilient member biases the latching member to slide, to allow the latching block to latch in the latching hole.

Abstract: A resolution of a low resolution depth image is increased by applying joint geodesic upsampling to a high resolution image to obtain a geodesic distance map. Depths in the low resolution depth image are interpolated using the geodesic distance map to obtain a high resolution depth image. The high resolution image can be a gray scale or color image, or a binary boundary map. The low resolution depth image can be acquired by any type of depth sensor.

Abstract: A server cabinet includes a rack and a server unit installed in the rack. The server unit includes a receiving portion extending rearward from a rear wall of the server unit adjacent to a sidewall of the server unit, a motherboard with a first connector, and a cable with a second connector. The motherboard is received in the server unit. The first connector is received in the receiving portion. The receiving portion defines a through hole adjacent to the sidewall. The second connector of the cable extends through the through hole, to be connected to the first connector of the motherboard.

Abstract: A server cabinet includes a rack, a number of servers, a power distribution unit (PDU), and a position bracket. The rack includes a side plate and a mounting bracket extending from an inner side of the side plate. An engaging portion is formed on a front side of the mounting bracket. The servers are mounted in the rack. Front ends of the servers are fastened to a side of the mounting bracket away from the side plate. A block protrudes from the PDU and engages in the engaging portion. The position bracket includes a base plate fastened to the PDU and a position portion extending from a side of the side plate. Fasteners extend through the position portion and engage in the side plate.

Abstract: A server cabinet includes a rack, a bracket, and a switch. Two first poles are formed at a front end of the rack, and two second poles are formed at a rear end of the rack. A connection plate is connected between each first pole and the corresponding second pole in alignment with the first pole. A bracket is detachably fastened between the connection plates. A front end of the switch is fastened to the first poles, and a rear end of the switch is supported on the bracket.

Abstract: A cable management apparatus for binding cables includes a mounting plate and a cable clamp. The mounting plate defines an opening for receiving the cables. The cable clamp includes a resilient position member. The cable clamp is attached to the opening, the position member is abut to the cables received in the opening.