Applications of CSP Solving in Camera Control
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Camera control systems of commercial 3D games have improved greatly in recent years, yet they are not as fully developed as other components of the games such as graphics, physics engines, etc. Bourne and Sattar (2006) have proposed a reactive constraint based camera system. We have extended their system with the capability to handle occlusion while following the main character. Camera cuts are used to find appropriate camera positions for a few difficult situations. The camera follows the character from (near) optimal positions defined by a camera profile. The desired values of height and distance constraints are changed appropriately whenever the character enters a semi-enclosed/enclosed area. The desired value of the orientation constraint is changed incrementally whenever the optimal camera view is obstructed. The system achieves real-time performance while following the main character in typical 3D environments and maintaining an optimal view based on the user specified/selected camera profile.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it