{"title":"结合“特征映射”和“块”方法来减少立体算法的匹配面积","authors":"Djaber Rouabhia, Nour Eddine Djedi","doi":"10.1504/ijcvr.2023.134310","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a new approach to restrict the matching field of stereoscopic algorithms. It has been found that computing the disparity map implies using the whole image for a wide range of stereoscopic methods, thus, leading to extra-time calculation and visual artefacts in the results. Based on this observation, we derived an approach that significantly reduces the evaluated time of stereoscopic algorithms and avoids noises appearing in the result. The proposed approach introduces a strong association between silhouette edges and stereoscopic algorithms by using only the geometric information present in the images to restrict the matching area. The proposed method aims to limit the matching zone to the exact geometry of the analysed object, avoiding, therefore, extra times and undesirable noises. We did not use hard-coding algorithms or expensive equipment, and we got accepted results in terms of time and accuracy.","PeriodicalId":38525,"journal":{"name":"International Journal of Computational Vision and Robotics","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A combination of 'feature mapping' and 'block' approaches to reduce the matching area of stereoscopic algorithms\",\"authors\":\"Djaber Rouabhia, Nour Eddine Djedi\",\"doi\":\"10.1504/ijcvr.2023.134310\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a new approach to restrict the matching field of stereoscopic algorithms. It has been found that computing the disparity map implies using the whole image for a wide range of stereoscopic methods, thus, leading to extra-time calculation and visual artefacts in the results. Based on this observation, we derived an approach that significantly reduces the evaluated time of stereoscopic algorithms and avoids noises appearing in the result. The proposed approach introduces a strong association between silhouette edges and stereoscopic algorithms by using only the geometric information present in the images to restrict the matching area. The proposed method aims to limit the matching zone to the exact geometry of the analysed object, avoiding, therefore, extra times and undesirable noises. We did not use hard-coding algorithms or expensive equipment, and we got accepted results in terms of time and accuracy.\",\"PeriodicalId\":38525,\"journal\":{\"name\":\"International Journal of Computational Vision and Robotics\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Computational Vision and Robotics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijcvr.2023.134310\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computational Vision and Robotics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijcvr.2023.134310","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Computer Science","Score":null,"Total":0}
A combination of 'feature mapping' and 'block' approaches to reduce the matching area of stereoscopic algorithms
In this paper, we propose a new approach to restrict the matching field of stereoscopic algorithms. It has been found that computing the disparity map implies using the whole image for a wide range of stereoscopic methods, thus, leading to extra-time calculation and visual artefacts in the results. Based on this observation, we derived an approach that significantly reduces the evaluated time of stereoscopic algorithms and avoids noises appearing in the result. The proposed approach introduces a strong association between silhouette edges and stereoscopic algorithms by using only the geometric information present in the images to restrict the matching area. The proposed method aims to limit the matching zone to the exact geometry of the analysed object, avoiding, therefore, extra times and undesirable noises. We did not use hard-coding algorithms or expensive equipment, and we got accepted results in terms of time and accuracy.