Abstract: In an embodiment, a pose estimation device obtains an image of an object, and generates a pose estimate of the object. The pose estimate includes a respective heatmap for each of a plurality of pose components of a pose of the object, and the respective heatmap for each of the pose components includes a respective uncertainty indication of an uncertainty of the pose component at each of one or more pixels of the image.

Abstract: In an embodiment, a pose estimation device obtains an image of an object, and generates a pose estimate of the object. The pose estimate includes a respective heatmap for each of a plurality of pose components of a pose of the object, and the respective heatmap for each of the pose components includes a respective uncertainty indication of an uncertainty of the pose component at each of one or more pixels of the image.

Abstract: A system and method for determining an IR image offset and calibrating a depth sensing camera to account for the offset is provided. An RGB-D camera may image a checkerboard pattern at a known distance and location. The checkerboard pattern may be provided on a planar device, such as a board. A three-dimensional primitive shape may be placed at in a known location in relation to the checkerboard. Depth data may be obtained from the checkerboard with the primitive shape. As the system knows the actual depth of the primitive shape, a depth offset may be calculated from the returned depth information from the RGB-D camera. The system may determine the offset between the depth information and the color image. The offset may be taken into account to produce more accurate RGB-D images.

Abstract: A method for object tracking is provided. The method may include identifying a first interest point, receiving a video frame, and detecting, via a processor, a second interest point in the video frame using a scale space image pyramid. The method may further include matching the second interest point with the first interest point, and determining a motion estimation based on the matched interest points. Similar apparatuses and computer program products are also provided.

Abstract: A method for object tracking is provided. The method may include identifying a first interest point, receiving a video frame, and detecting, via a processor, a second interest point in the video frame using a scale space image pyramid. The method may further include matching the second interest point with the first interest point, and determining a motion estimation based on the matched interest points. Similar apparatuses and computer program products are also provided.