Camera motion estimation method for augmented reality tracking algorithm and system therefor

A camera motion estimation method for an augmented reality tracking algorithm performed by a sequence production application executed by a processor of a computing device, comprising:

• displaying a target object on a sequence production interface;
• setting a virtual viewpoint trajectory on the displayed target object;
• generating an image sequence by rendering images obtained when the target object is viewed along the set virtual viewpoint trajectory;
• and
• reproducing the generated image sequence,
• wherein the displaying the target object on the sequence production interface comprises determining the target object, which is a pre-designed three-dimensional (3D) model corresponding to a real object, according to a user input,
• further comprising setting the generated virtual image sequence as a predetermined ground-truth serving as a benchmark;
• receiving a real image sequence obtained by photographing and tracking a real object corresponding to the target object from an object tracking application of a terminal;
• and
• comparing the received real image sequence with the predetermined ground-truth to calculate an accuracy parameter of the object tracking application, and
• wherein the displaying the target object on the sequence production interface comprises:
• importing a pre-designed 3D model corresponding to the target object and placing the imported 3D model at an origin of 3D spatial coordinates.