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2015 8th International Congress on Image and Signal Processing (CISP)最新文献

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Palm vein identification based on partial least square 基于偏最小二乘法的手掌静脉识别
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407962
Jinxin Xu
{"title":"Palm vein identification based on partial least square","authors":"Jinxin Xu","doi":"10.1109/CISP.2015.7407962","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407962","url":null,"abstract":"Palm vein identification is a novel biometric technology. Palm vein has high security and very convenient for the user. Many users like this kind of biometric which only use their hands. However, for the NIR light scattering in the skin and difference from different time capture, the recognition performance is not perfect. This paper proposes the algorithm based on partial least squares to extract some directions to compose the classify subspace. The direction change obviously in gray level and has the maximum relationship with the classical information. The coordinate of image in this subspace is used to classification and recognition. Classification is according to the image position in this space. Automation research institute of Chinese academy of sciences database was used to experimental analysis. When the component number is 240, the recognition performance of this scheme reaches the best value: CRR: 98.70%, FAR: 1.30%, FRR: 1.33%. The recognition time is 0.8196s at this component number. Experimental results show that this algorithm improves the recognition performance, suitable for security, attendance, etc, have practical value.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127236426","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}
引用次数: 3
Personalized full-body reconstruction based on single kinect 基于单个kinect的个性化全身重建
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408021
Hao Pang, Jiping Li, Jianjun Peng, Xin Zhong, Xiangyue Cai
{"title":"Personalized full-body reconstruction based on single kinect","authors":"Hao Pang, Jiping Li, Jianjun Peng, Xin Zhong, Xiangyue Cai","doi":"10.1109/CISP.2015.7408021","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408021","url":null,"abstract":"To build 3D personalized human body geometry in virtual scenes, this paper presents a full human body reconstruction method based on single Kinect. This method captures three top-down human point clouds firstly and uses ICP to find the corresponding points between the point clouds. A personalized full human body point cloud is generated after point cloud fusion and down-sampling. Finally, the 3D human geometry is constructed by triangulation. The experimental results demonstrate the method feasibility.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"88 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127238904","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}
引用次数: 4
An adaptive bit mismatch rectification algorithm for intra frame rate control in HEVC 一种用于帧内速率控制的自适应位错校正算法
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407854
C. Sheng, Fen Chen, Zongju Peng, Weiguo Chen
{"title":"An adaptive bit mismatch rectification algorithm for intra frame rate control in HEVC","authors":"C. Sheng, Fen Chen, Zongju Peng, Weiguo Chen","doi":"10.1109/CISP.2015.7407854","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407854","url":null,"abstract":"Rate control is an integral part of high-fidelity video coding. Since the first call for proposal, many rate control algorithms have been incorporated into the HEVC standard to prepare for its practical use in the future. The state of the art SATD based intra frame rate control strategy (SATDRC) achieves stable controlling performance. However, the average bit mismatch on the frame level (BMF) reaches 0.62%, with the highest 1.47%, which may lead to unsteady video services in bandwidth constrained applications. In this paper, an adaptive frame level bit mismatch rectification scheme (AFBMR) is proposed for SATDRC to reduce the gap between allocated bits and generated bits. BMF is utilized to adjust bits allocated to a frame adaptively in accordance with sequence characteristics. Experimental results show that the proposed method reduces bit inconsistency by 37.33% on average, enhancing bit rate accuracy as well as providing steadier bit streams without introducing extra computational complexity and loss of video quality.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121458631","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}
引用次数: 2
Convolutional autoencoder-based color image classification using chroma subsampling in YCbCr space 基于YCbCr空间色度子采样的卷积自编码器彩色图像分类
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407903
Zuhe Li, Yangyu Fan, Fengqin Wang
{"title":"Convolutional autoencoder-based color image classification using chroma subsampling in YCbCr space","authors":"Zuhe Li, Yangyu Fan, Fengqin Wang","doi":"10.1109/CISP.2015.7407903","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407903","url":null,"abstract":"We propose a convolutional autoencoder neural network for image classification in YCbCr color space to reduce computational complexity. We first learned local image features from image patches in YCbCr space with a sparse autoencoder and then convolved them with large images to obtain global features. Chrominance components were subsampled before convolution as it is permitted to reduce bandwidth for chrominance components in YCbCr space. We then adopted an algorithm to resize the convolved features in chrominance components by shifting the elements after convolution. Global features were finally fed into a softmax classifier to test the classification accuracy. Experimental results reveal that the convolutional neural network in YCbCr space is able to obtain a reduction of at least 21.6% in time consumption compared to the RGB representation with a slight loss in accuracy.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128699700","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}
引用次数: 5
Wood species recognition based on SIFT keypoint histogram 基于SIFT关键点直方图的树种识别
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407968
Shuaiqi Hu, Ke Li, Xudong Bao
{"title":"Wood species recognition based on SIFT keypoint histogram","authors":"Shuaiqi Hu, Ke Li, Xudong Bao","doi":"10.1109/CISP.2015.7407968","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407968","url":null,"abstract":"Traditionally, only experts who are equipped with professional knowledge and rich experience are able to recognize different species of wood. Applying image processing techniques for wood species recognition can not only reduce the expense to train qualified identifiers, but also increase the recognition accuracy. In this paper, a wood species recognition technique base on Scale Invariant Feature Transformation (SIFT) keypoint histogram is proposed. We use first the SIFT algorithm to extract keypoints from wood cross section images, and then k-means and k-means++ algorithms are used for clustering. Using the clustering results, an SIFT keypoints histogram is calculated for each wood image. Furthermore, several classification models, including Artificial Neural Networks (ANN), Support Vector Machine (SVM) and K-Nearest Neighbor (KNN) are used to verify the performance of the method. Finally, through comparing with other prevalent wood recognition methods such as GLCM and LBP, results show that our scheme achieves higher accuracy.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128797518","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}
引用次数: 22
Realtime shape-enhanced shading of large scale skinned meshes with fast normal updating 具有快速法线更新的大规模蒙皮网格的实时形状增强着色
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408023
Chen Chen, Minghong Liao, Xing Gao, Juncong Lin
{"title":"Realtime shape-enhanced shading of large scale skinned meshes with fast normal updating","authors":"Chen Chen, Minghong Liao, Xing Gao, Juncong Lin","doi":"10.1109/CISP.2015.7408023","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408023","url":null,"abstract":"Shape exaggeration is highly expected in many applications such as cultural heritage, cartography, educational demos, game etc. Although there have been some research on shape-exaggerated shading, most of them are too slow for real-time applications when large scale meshes are involved. We notice the bottleneck is updating of surface normal. Based on this observation, we present a real-time shape-exaggerated shading method for large scale skinned meshes. The key component is a fast normal updating method tailored for skinned meshes. Experimental results show that our method can generate shading results that are comparable to existing methods in real-time.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127330094","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}
引用次数: 0
Recent results in compressive sensing based image inpainiting algorithms and open problems 基于压缩感知的图像绘制算法的最新研究成果和开放问题
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407893
Guoyue Chen, Guan Gui, Sen Li
{"title":"Recent results in compressive sensing based image inpainiting algorithms and open problems","authors":"Guoyue Chen, Guan Gui, Sen Li","doi":"10.1109/CISP.2015.7407893","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407893","url":null,"abstract":"Many image inpainiting (IMIN) algorithms have been developed to restore corrupted images in last decades. However, traditional IMIN algorithms do not learn the sparse structure of the corrupted images. Hence, it is very hard to renovate the images accurately. In contrast to the conventional algorithms, compressive sensing based IMIN algorithms can remove strong noise as well as can restore images by virtual of learning the inherent sparse structure in images. This paper introduces recent results in compressive sensing based IMIN algorithms and presents corresponding simulation examples to validate the proposed algorithms. In addition, we also summarize some open problems and point out some potential approaches to solve these problems.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127382997","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}
引用次数: 1
Speech enhancement based on the generalized sidelobe cancellation and spectral subtraction for a microphone array 基于广义旁瓣对消和谱减法的麦克风阵列语音增强
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408086
Chunhe Yu, Long Su
{"title":"Speech enhancement based on the generalized sidelobe cancellation and spectral subtraction for a microphone array","authors":"Chunhe Yu, Long Su","doi":"10.1109/CISP.2015.7408086","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408086","url":null,"abstract":"GSC (Generalized sidelobe canceller) algorithm is a widely used speech enhancement method for a microphone array. Whereas, The GSC has some problems such as: speech offset in adaptive noise cancellation module is weak, noise cancellation capability for non-coherent noise is not enough. Considering the GSC's problems of the noise cancellation capability and the residual background noise, the paper proposes a new combination of GSC and spectral subtraction speech enhancement method. The simulation results show that this method can effectively suppress the influence of the residual background noise and improve speech-noise ratio and intelligibility of speech.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133690278","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}
引用次数: 9
An improved computing model for a two-wheeled self-balancing vehicle's state determination 一种改进的两轮自平衡车辆状态确定计算模型
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7408098
Sufeng Wang, Hongyi Lu, Fangyong Hou
{"title":"An improved computing model for a two-wheeled self-balancing vehicle's state determination","authors":"Sufeng Wang, Hongyi Lu, Fangyong Hou","doi":"10.1109/CISP.2015.7408098","DOIUrl":"https://doi.org/10.1109/CISP.2015.7408098","url":null,"abstract":"Owing to the estimating accuracy of state variable for a two-wheeled self-balancing vehicle is not high in a transient status, this paper presents an improved computing model based on a simplified force model of a two-wheeled self-balancing vehicle. Experimental results show that the improved computing model reduces the estimating error of state variable for a two-wheeled self-balancing vehicle in a transient status.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131030547","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}
引用次数: 2
A real-time tracking method based on SURF 一种基于SURF的实时跟踪方法
2015 8th International Congress on Image and Signal Processing (CISP) Pub Date : 2015-10-01 DOI: 10.1109/CISP.2015.7407898
Wenying Wang, Yibo Zhou, Xucheng Zhu, Yuxiang Xing
{"title":"A real-time tracking method based on SURF","authors":"Wenying Wang, Yibo Zhou, Xucheng Zhu, Yuxiang Xing","doi":"10.1109/CISP.2015.7407898","DOIUrl":"https://doi.org/10.1109/CISP.2015.7407898","url":null,"abstract":"Two important problems in real-time tracking are: 1) how to discriminate an object from clutter environments, and 2) how to meet the real-time requirement in practical applications. In real-time tracking application scenario, neither priori information about targets nor background model is known, which makes many traditional methods fail. In this paper, we propose an object detection and tracking method based on Speeded-Up Robust Features (SURF). A region of interests is set up to reduce computation burden and an adaptive reference library is built and updated by reusing the extracted feature points and past object location. The advantages of this method lies in its robustness while its calculation is light. Our experiments show that our method is robust under camera wobble, background clutter and illumination changes. It can reach real-time processing in various occasions.","PeriodicalId":167631,"journal":{"name":"2015 8th International Congress on Image and Signal Processing (CISP)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131579210","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}
引用次数: 2
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