Authors - Aman Kamboj, Vishal Kumar, Abhishek Mishra, Kalpesh Patil Abstract - Accurate 3D reconstruction of tire tread geometry is essential for industrial applications such as automated wear estimation, defect detection, and quality assurance. However, 3D reconstruction of tires from multi-view RGB images remains challenging due to low-texture rubber surfaces, repetitive groove patterns, and sensitivity to lighting variations. These factors often lead to incomplete or noisy reconstructions when using standard photogrammetry. This paper presents an optimized multi-view tire reconstruction framework tailored specifically for tire tread surfaces. The resulting 3D tire model was compared with the reference 3D model obtained from a laser scanner. The comparison showed a mean point-to-point distance of 0.05mm between the two models, indicating a high level of geometric accuracy and close agreement with the ground-truth laser-scanned model. Experimental evaluations further demonstrate that the our optimized method is fast and achieves higher completeness, depth information, better preservation of tread grooves. Overall, the proposed framework provides an accurate tire 3D reconstruction solution capable of delivering the precision required for modern tire inspection and analysis.
