A. Sarti, Claudio Defferara, Fabio Negroni, S. Tubaro
{"title":"New perspectives on camera calibration using geometric algebra","authors":"A. Sarti, Claudio Defferara, Fabio Negroni, S. Tubaro","doi":"10.1109/ICIP.2002.1040015","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1040015","url":null,"abstract":"We propose a new approach to the camera self-calibration problem, based on geometric algebra. After an introduction on the adopted Clifford algebra framework, we provide new insight on the epipolar constraint as defined in terms of bivectors. On the basis of that, we propose a novel solution for the simultaneous determination of the focal lengths of the cameras and the rigid motion between views.","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"7 1","pages":"II-II"},"PeriodicalIF":0.0,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76577800","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A graphic-theoretic model for incremental relevance feedback in image retrieval","authors":"Yueting Zhuang, Jun Yang, Qing Li, Yunhe Pan","doi":"10.1109/ICIP.2002.1038048","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1038048","url":null,"abstract":"Many traditional relevance feedback approaches for content-based image retrieval (CBIR) can only achieve limited short-term performance improvement without benefiting long-term performance. To remedy this limitation, we propose a graphic-theoretic model for incremental relevance feedback in image retrieval. Firstly, a two-layered graph model is introduced that describes the correlations between images. A teaming strategy is then suggested to enrich the graph model with semantic correlations between images derived from user feedback. Based on the graph model, we propose a link analysis approach for image retrieval and relevance feedback. Experiments conducted on real-world images have demonstrated the advantage of our approach over traditional approaches in both short-term and long-term performance.","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"36 1","pages":"I-I"},"PeriodicalIF":0.0,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78043368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Synthesis-based scalable image enhancement for digital radiography","authors":"Lijun Yin, J. Chang, A. Basu","doi":"10.1109/ICIP.2002.1040115","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1040115","url":null,"abstract":"The ability to resolve fine picture detail is of paramount importance in a medical imaging system when it comes to view small tissues, bone structure and anatomy in X-ray images. In order to enhance diagnostic information and suppress irrelevant detail, we present a new digital X-ray imaging processing system with the property of scalability and adaptability. First, a new optimum contrast enhancement algorithm is proposed for display. The adaptive detection of the region-of-interest is developed. Second, a so called \"scalable edge enhancement algorithm\" is proposed to improve the image quality for showing subtle structures of the digital X-ray images. The advantage of the scheme is demonstrated by an experiments on 200 X-ray images, in which different parts of human body structures are captured.","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"33 1-2 1","pages":"II-II"},"PeriodicalIF":0.0,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78178538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Speeding up SSD planar tracking by pixel selection","authors":"J. M. Buenaposada, L. Baumela","doi":"10.1109/ICIP.2002.1038086","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1038086","url":null,"abstract":"Tracking planar patches is a subject of interest in computer vision. We present a method to estimate, in real-time, the position and orientation of a previously viewed planar patch. The algorithm is based on minimising the sum of squared differences (SSD) between a selected set of pixels obtained from a previously stored image of the patch and the current image of it. First a linear model for projectively tracking a planar patch is introduced; then, a procedure to accelerate the tracking process is presented. This procedure is based on using a small set of informative points in the tracking process. In experiments, we show the gain in performance and compare different procedures for selecting the set of points used in tracking.","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"350 1","pages":"I-I"},"PeriodicalIF":0.0,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79772114","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Creating 3D speech-driven talking heads: a probabilistic network approach","authors":"Kyoung-Ho Choi, Jenq-Neng Hwang","doi":"10.1109/ICIP.2002.1038193","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1038193","url":null,"abstract":"We present a probabilistic approach to decide whether or not extracted facial features are appropriate for creating 3D face models. Automatically extracted 2D facial features from a video sequence are fed into the proposed probabilistic framework before a corresponding 3D face model is built to avoid generating unnatural or non-realistic 3D faces. In addition, a new algorithm for audio-to-visual conversion based on constrained optimization is presented to generate visual parameters for driving the mouth movement of the 3D face models from speech. Lagrangian optimization is applied to transform a constrained problem into an unconstrained problem. Experimental results are provided to show the effectiveness and validity of the proposed algorithms for various video sequences and speech.","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"2 1","pages":"I-I"},"PeriodicalIF":0.0,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79773499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Image comparison measure for digital still color cameras","authors":"R. Ramanath, B. W. Snyder, C. D. Hinks","doi":"10.1109/ICIP.2002.1038103","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1038103","url":null,"abstract":"A measure is developed for comparing complex scenes produced by single-chip digital color cameras. The proposed measure is based on the CIELAB color space with appropriate considerations to the sensitivity of the human visual system (HVS) when viewing a complex scene. For comparison purposes, the error measures proposed have been implemented using the /spl Delta/E/sub ab//sup */, /spl Delta/E/sub 94//sup */ and the recently recommended CIEDE2000 color differences.","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"102 1","pages":"I-I"},"PeriodicalIF":0.0,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80283559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Fragile and semi-fragile image authentication based on image self-similarity","authors":"S. N. El-Din, M. Moniri","doi":"10.1109/ICIP.2002.1040096","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1040096","url":null,"abstract":"We propose a new approach for fragile and semi-fragile image authentication based on image self-similarity. The authentication signature is extracted from image representation using generalized finite automata which represents the image in terms of its perceptual self-similarity. This self-similarity is more likely to be damaged due to illegitimate manipulations rather than compression algorithms such as JPEG. The proposed technique is also capable of changing the degree of fragility by setting the value of the image self-similarity parameter /spl alpha/. Furthermore, our approach features an extremely compact signature length whilst maintaining a rather simple implementation. Experimental results are presented for well known images to support these claims.","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"88 1","pages":"II-II"},"PeriodicalIF":0.0,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80296409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Concatenated multiple description coding of frame-rate scalable video","authors":"I. Bajić, J. Woods","doi":"10.1109/ICIP.2002.1039920","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1039920","url":null,"abstract":"In this paper we present a method for concatenated multiple description (MD) coding of frame-rate scalable video. The proposed method combines domain-based MD coding and FEC-based MD coding. We find that the combined system benefits from both of its components and is significantly better than either of them at higher packet loss rates.","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"16 1","pages":"II-II"},"PeriodicalIF":0.0,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79150994","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Truncated edges estimation using MLP neural nets applied to regularized image restoration","authors":"E. Bernués, G. Cisneros, Marisa Capella","doi":"10.1109/ICIP.2002.1038030","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1038030","url":null,"abstract":"This paper describes the implementation of a method for image restoration based on neural nets. The idea is to apply a well-known deterministic regularisation function in an iterative energy minimisation procedure to a multilayer perceptron (MLP). At every iteration, the neural net simulates an approach to both the degradation process, using the aperiodic model (backward), and the restoration process (forward), including the truncation (loss) of the borders and their regeneration (approach) with no a priori knowledge, assumption, or estimation concerning those lost borders. As no net training is required, no images are involved in this non-existent process. Within the strategy of global energy minimisation, the borders are regenerated while adapting the centre of the image to the optimum linear solution. The proposed tests compare the restoration results with those given by the pure aperiodic model (no border truncation) and the circulant model. The restoration error is computed for different concentric areas of the image, showing the adaptation provided by the neural net up to the borders. Moreover, pure aperiodic and circulant models can be obtained as particular implementations of the method proposed in this work.","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"118 1 1","pages":"I-I"},"PeriodicalIF":0.0,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84296663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An experimental study of a new entropy-based SAR autofocus technique","authors":"R. Morrison, D. Munson","doi":"10.1109/ICIP.2002.1039982","DOIUrl":"https://doi.org/10.1109/ICIP.2002.1039982","url":null,"abstract":"The stage by stage approaching (SSA) entropy minimization approach to synthetic aperture radar (SAR) autofocus is a modern and innovative technique, which, to date, has not been compared with other approaches. We provide such a comparison and show that SSA is a most promising autofocus method. We evaluate the merit of this algorithm through comparison with the established phase gradient autofocus (PGA) algorithm on both simulated and real SAR data. Our results show that SSA works well in comparison to the state-of-the-art PGA. However, SSA is more computationally demanding.","PeriodicalId":74572,"journal":{"name":"Proceedings. International Conference on Image Processing","volume":"18 1","pages":"II-II"},"PeriodicalIF":0.0,"publicationDate":"2002-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84340853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}