paper-with-me

Papers

Towards Complete Scene and Regular Shape for Distortion Rectification by Curve-Aware Extrapolation

2021-01-01 · ICCV 2021 10 · Kang Liao, Chunyu Lin, Yunchao Wei, Feng Li, Shangrong Yang, Yao Zhao

The wide-angle lens gains increasing attention since it can capture a wide field-of-view scene (FoV). However, the obtained image is contaminated with radial distortion, making the scene not realistic. Previous distortion rectification methods rectify the image in a rectangle or invagination, failing to display the complete content and regular shape simultaneously. In this paper, we rethink the representation of rectification results and present a Rectification OutPainting (ROP) method, aiming to extrapolate the coherent semantics to the blank area and create a wider FoV beyond the original wide-angle lens. To address the specific challenges such as the variable painting region and curve boundary, a rectification module is designed to rectify the image with geometry supervision, and the extrapolated results are generated using a dual conditional expansion strategy. In terms of the spatially discounted correlation, a curve-aware correlation measurement is proposed to focus on the generated region to enforce the local consistency. To our knowledge, we are the first to tackle the challenging rectification via outpainting, and our curve-aware strategy can reach a rectification construction with complete content and regular shape. Extensive experiments well demonstrate the superiority of our ROP over other state-of-the-art solutions.

📄 PDF Abstract BibTeX

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Scene Text Recognition via Transformer

2020-03-18 · Xinjie Feng, Hongxun Yao, Yuankai Qi, Jun Zhang 외

Scene text recognition with arbitrary shape is very challenging due to large variations in text shapes, fonts, colors, backgrounds, etc. Most state-of-the-art algorithms rectify the input image into the normalized image,…

DecoderScene Text Recognition

Scene Text Recognition With Finer Grid Rectification

2020-01-26 · Gang Wang

Scene Text Recognition is a challenging problem because of irregular styles and various distortions. This paper proposed an end-to-end trainable model consists of a finer rectification module and a bidirectional attentio…

DecoderScene Text Recognition

Portmanteauing Features for Scene Text Recognition

2022-11-09 · Yew Lee Tan, Ernest Yu Kai Chew, Adams Wai-Kin Kong, Jung-jae Kim 외

Scene text images have different shapes and are subjected to various distortions, e.g. perspective distortions. To handle these challenges, the state-of-the-art methods rely on a rectification network, which is connected…

Scene Text Recognition

Symmetry-constrained Rectification Network for Scene Text Recognition

2019-08-06 · ICCV 2019 10 · MingKun Yang, Yushuo Guan, Minghui Liao, Xin He 외

Reading text in the wild is a very challenging task due to the diversity of text instances and the complexity of natural scenes. Recently, the community has paid increasing attention to the problem of recognizing text in…

DiversityScene Text Recognition

Robust Scene Text Recognition with Automatic Rectification

2016-03-12 · CVPR 2016 6 · Baoguang Shi, Xinggang Wang, Pengyuan Lyu, Cong Yao 외

Recognizing text in natural images is a challenging task with many unsolved problems. Different from those in documents, words in natural images often possess irregular shapes, which are caused by perspective distortion,…

Optical Character Recognition (OCR)Scene Text DetectionScene Text Recognition