Abstract: In one embodiment, a system accesses a probability model associated with an image depicting a body. The probability model includes probability values associated with regions of the image and each probability value represents a probability of the associated region of the image containing a particular body part. The system selects a subset (e.g., 3) of the probability values based on a comparison of the probability values. For each selected probability value, the system identifies surrounding probability values surrounding the selected probability value and computes a probabilistic maximum based on the selected probability value and the surrounding probability values. Each probabilistic maximum is associated with a location within the regions associated with the selected probability value and the surrounding probability values.

Abstract: In one embodiment, a system accesses a probability model associated with an image depicting a body. The probability model includes probability values associated with regions of the image and each probability value represents a probability of the associated region of the image containing a particular body part. The system selects a subset (e.g., 3) of the probability values based on a comparison of the probability values. For each selected probability value, the system identifies surrounding probability values surrounding the selected probability value and computes a probabilistic maximum based on the selected probability value and the surrounding probability values. Each probabilistic maximum is associated with a location within the regions associated with the selected probability value and the surrounding probability values.

Abstract: Examples of the disclosure enable multi-frame processing of images to be efficiently performed. In some examples, one or more interest points are identified in a plurality of images. One or more features are extracted from the one or more interest points using an extraction algorithm. Based on the one or more extracted features, the plurality of images are registered to generate a plurality of registered images. The registered plurality of images are combined to generate a composite image. Aspects of the disclosure facilitate increasing speed, conserving memory, reducing processor load or an amount of energy consumed, and/or reducing network bandwidth usage.