Abstract: An apparatus is provided to estimate two-dimensional poses. The apparatus includes a communications interface to receive raw data. The raw data includes a representation of first and second objects. In addition, the apparatus includes a memory storage unit to store the raw data. Furthermore, the apparatus includes a neural network engine to apply a first convolution to the raw data to extract first features from a first output, to downsample the first output to extract a first set of subfeatures from a first suboutput, to apply a second convolution to the first output to extract a second set of features from a second output, and to apply the second convolution the first suboutput. The second output and the second suboutput are to be merged to generate joint heatmaps of the first object and the second object, and bone heatmaps of the first object and the second object.

Abstract: Introduced here is an approach to allowing a computer-implemented model to learn its own ordering scheme by applying an appropriate loss function during training. More generally, the present disclosure pertains to computer programs and associated computer-implemented techniques for estimating pose of a living body through simultaneous analysis of multiple visualizations. For example, joint type heatmaps—where a given heatmap includes every visible joint of the corresponding type across all visible persons—can be combined with joint person heatmaps—where a given heatmap includes every visible joint of the corresponding person—to better understand the relationship between joints visible in a digital image and people included in the digital image.

Abstract: Introduced here is an approach to allowing a computer-implemented model to learn its own ordering scheme by applying an appropriate loss function during training. More generally, the present disclosure pertains to computer programs and associated computer-implemented techniques for estimating pose of a living body through simultaneous analysis of multiple visualizations. For example, joint type heatmaps—where a given heatmap includes every visible joint of the corresponding type across all visible persons—can be combined with joint person heatmaps—where a given heatmap includes every visible joint of the corresponding person—to better understand the relationship between joints visible in a digital image and people included in the digital image.

Abstract: An apparatus is provided. The apparatus includes a communications interface to receive raw data. The raw data includes a representation of an actual object in two-dimension. The apparatus further includes a memory storage unit to store the raw data and reference data. In addition, the apparatus includes a scale estimation engine to receive the raw data and the reference data. The scale estimation engine is to calculate a first root position of the actual object in a three-dimensional space based on an analysis of the raw data with the reference data. Furthermore, the apparatus includes an aggregator to generate output data based on the first root position. The output data is to be transmitted to an external device.