Blind Detection and Compensation of Camera Lens Geometric Distortions
Lili Ma, YangQuan Chen, Kevin L. Moore
Abstract
This paper presents a blind detection and compensation technique for camera lens geometric distortions. The lens distortion introduces higher-order correlations in the frequency domain and in turn it can be detected using higher-order spectral analysis tools without assuming any specific calibration target. The existing blind lens distortion removal method only considered a single-coefficient radial distortion model. In this paper, two coefficients are considered to model approximately the geometric distortion. All the models considered have analytical closed-form inverse formulae.
Create a lesson
Related papers
Cepheid: Decoupling Scale from Structure for Cross-Family Motion Completion
Chih-Hai Su, Tsung-Wei Ke, Yu-Lun Liu
Dog-Breed Text-to-image Flow Matching from Pretraining to Fine-Tuning on 4 Consumer GPUs
Reyhaneh Esmailizadeh, Xingjian Leng, Zhanhao Liang et al.
PLAYGROUND: Progressive Layout Generation with Render-Grounded Planning
Jaeho Lee, Junhwan Heo, Junghyun Park et al.
Visual Tokens on Demand: Visual Budgeting for Scalable and Efficient Multi-Image Reasoning in Multimodal LLMs
Aimon Rahman, Joymallya Chakraborty, Vidit Bansal et al.
PixelMoE: Scaling Pixel-Space Diffusion with LLM-Style Mixture-of-Experts
Ruixiao Dong, Jianmin Bao, Bozhi Luan et al.
WorldRecon: Generative Multi-View Mesh Reconstruction for Large-Scale 3D World
Mengchen Zhang, Yang Li, Chunshi Wang et al.