Camera Motion Estimation for AR Tracking via Synthetic Benchmarks

The patent pre-generates ground-truth image sequences with known camera trajectories and virtual object placements before actual AR tracking evaluation. This preliminary preparation establishes reference data that simplifies subsequent tracking validation by providing predetermined coordinate transformations and camera poses, reducing the computational complexity of real-time coordinate frame transformations during AR operations.

The patent creates synthetic ground-truth image sequences that replicate real-world scenarios with known ground truth data. By copying and simulating various camera motion patterns and object placements in a controlled virtual environment, the system establishes reference datasets that simplify the evaluation process and reduce the complexity of determining accurate coordinate transformations in actual AR applications.

The patent generates synthetic ground-truth image sequences by rendering virtual scenes with known camera trajectories and object positions. This copying approach creates benchmark datasets that replicate real-world tracking scenarios without requiring actual physical data collection, thereby maintaining high measurement precision for tracking accuracy evaluation while dramatically reducing the time and resources needed for data collection.

The patent pre-generates comprehensive ground-truth datasets including various camera motion patterns, object placements, and environmental conditions before conducting tracking accuracy evaluations. This preliminary data preparation eliminates the need for time-consuming real-world data collection during the evaluation phase, allowing rapid benchmarking of object tracking applications against predetermined ground truth.

The patent pre-determines camera trajectories and virtual object placements by generating ground-truth image sequences with known camera poses before actual AR rendering. This preliminary computation of camera motion paths and transformation matrices reduces the computational load during real-time AR operations, as the system can reference pre-calculated data rather than performing complex motion tracking and coordinate transformations in real-time.

The patent uses synthetic ground-truth data that copies and stores predetermined camera motion patterns and transformation relationships. By referencing these pre-generated reference sequences, the system maintains high AR scene accuracy while reducing computational requirements during actual AR operations, as the complex motion estimation and coordinate transformations have already been performed during ground-truth generation.