Proceedings. IEEE Workshop on Applications of Computer Vision最新文献

Classification of 3D Multicellular Organization in Phase Microscopy for High Throughput Screening of Therapeutic Targets. 用于高通量筛选治疗靶点的三维多细胞组织的相显微镜分类。

Proceedings. IEEE Workshop on Applications of Computer Vision Pub Date : 2015-01-01 DOI: 10.1109/WACV.2015.64

Hang Chang, Bahram Parvin

{"title":"Classification of 3D Multicellular Organization in Phase Microscopy for High Throughput Screening of Therapeutic Targets.","authors":"Hang Chang, Bahram Parvin","doi":"10.1109/WACV.2015.64","DOIUrl":"https://doi.org/10.1109/WACV.2015.64","url":null,"abstract":"The current trend in high throughput screening is the utilization of more complex model systems that mimic both structural and functional properties of cellular processes in vivo. In this context, 3D cell culture models have emerged as effective systems to study tumor initiation and cancer behavior, where colony organization represents distinct phenotypic signatures that enable differentiation of cancer cells in culture using phase imaging and in the absence of clinical markers. If the colony organization can be classified into different phenotypes, it will enable rapid drug screening using phase microscopy. In this paper, we propose a novel method based on locality-constrained dictionary learning for the discrimination of aberrant colony organization in phase images, which encodes original SIFT (Scale-Invariant Feature Transform) features into high dimensional sparse codes with locality-preserving landmark points on the nonlinear manifold, and summarizes the sparse features at various locations and scales through spatial pyramid matching for robust representation. Experimental results demonstrate the significant improvement of performance, compared to the state-of-art in the field.","PeriodicalId":88971,"journal":{"name":"Proceedings. IEEE Workshop on Applications of Computer Vision","volume":"2015 ","pages":"436-441"},"PeriodicalIF":0.0,"publicationDate":"2015-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1109/WACV.2015.64","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"33093514","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Image Alignment for Multiple Camera High Dynamic Range Microscopy. 多相机高动态范围显微镜的图像对齐。

Proceedings. IEEE Workshop on Applications of Computer Vision Pub Date : 2012-01-09 DOI: 10.1109/WACV.2012.6163015

Brian S Eastwood, Elisabeth C Childs

引用次数: 0

Localizing Blurry and Low-Resolution Text in Natural Images. 在自然图像中定位模糊和低分辨率文本。

Proceedings. IEEE Workshop on Applications of Computer Vision Pub Date : 2011-02-10 DOI: 10.1109/WACV.2011.5711546

Pannag Sanketi, Huiying Shen, James M Coughlan

{"title":"Localizing Blurry and Low-Resolution Text in Natural Images.","authors":"Pannag Sanketi, Huiying Shen, James M Coughlan","doi":"10.1109/WACV.2011.5711546","DOIUrl":"10.1109/WACV.2011.5711546","url":null,"abstract":"There is a growing body of work addressing the problem of localizing printed text regions occurring in natural scenes, all of it focused on images in which the text to be localized is resolved clearly enough to be read by OCR. This paper introduces an alternative approach to text localization based on the fact that it is often useful to localize text that is identifiable as text but too blurry or small to be read, for two reasons. First, an image can be decimated and processed at a coarser resolution than usual, resulting in faster localization before OCR is performed (at full resolution, if needed). Second, in real-time applications such as a cell phone app to find and read text, text may initially be acquired from a lower-resolution video image in which it appears too small to be read; once the text's presence and location have been established, a higher-resolution image can be taken in order to resolve the text clearly enough to read it.We demonstrate proof of concept of this approach by describing a novel algorithm for binarizing the image and extracting candidate text features, called \"blobs,\" and grouping and classifying the blobs into text and non-text categories. Experimental results are shown on a variety of images in which the text is resolved too poorly to be clearly read, but is still identifiable by our algorithm as text.","PeriodicalId":88971,"journal":{"name":"Proceedings. IEEE Workshop on Applications of Computer Vision","volume":"2011 5-7 Jan. 2011","pages":"503-510"},"PeriodicalIF":0.0,"publicationDate":"2011-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3132180/pdf/nihms306893.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29999357","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Real-Time Detection and Reading of LED/LCD Displays for Visually Impaired Persons. 为视障人士实时检测和读取 LED/LCD 显示屏。

Proceedings. IEEE Workshop on Applications of Computer Vision Pub Date : 2011-01-05 DOI: 10.1109/WACV.2011.5711544

Ender Tekin, James M Coughlan, Huiying Shen

{"title":"Real-Time Detection and Reading of LED/LCD Displays for Visually Impaired Persons.","authors":"Ender Tekin, James M Coughlan, Huiying Shen","doi":"10.1109/WACV.2011.5711544","DOIUrl":"10.1109/WACV.2011.5711544","url":null,"abstract":"Modern household appliances, such as microwave ovens and DVD players, increasingly require users to read an LED or LCD display to operate them, posing a severe obstacle for persons with blindness or visual impairment. While OCR-enabled devices are emerging to address the related problem of reading text in printed documents, they are not designed to tackle the challenge of finding and reading characters in appliance displays. Any system for reading these characters must address the challenge of first locating the characters among substantial amounts of background clutter; moreover, poor contrast and the abundance of specular highlights on the display surface - which degrade the image in an unpredictable way as the camera is moved - motivate the need for a system that processes images at a few frames per second, rather than forcing the user to take several photos, each of which can take seconds to acquire and process, until one is readable.We describe a novel system that acquires video, detects and reads LED/LCD characters in real time, reading them aloud to the user with synthesized speech. The system has been implemented on both a desktop and a cell phone. Experimental results are reported on videos of display images, demonstrating the feasibility of the system.","PeriodicalId":88971,"journal":{"name":"Proceedings. IEEE Workshop on Applications of Computer Vision","volume":" ","pages":"491-496"},"PeriodicalIF":0.0,"publicationDate":"2011-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3146550/pdf/nihms307231.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"30045725","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Groupwise Pose Normalization for Craniofacial Applications. 颅面应用分组位姿归一化。

Proceedings. IEEE Workshop on Applications of Computer Vision Pub Date : 2011-01-01 DOI: 10.1109/WACV.2011.5711510

Jiun-Hung Chen, Linda G Shapiro

引用次数: 2

An Algorithm Enabling Blind Users to Find and Read Barcodes. 一种使盲人用户能够查找和读取条形码的算法。

Proceedings. IEEE Workshop on Applications of Computer Vision Pub Date : 2009-12-07 DOI: 10.1109/WACV.2009.5403098

Ender Tekin, James M Coughlan

{"title":"An Algorithm Enabling Blind Users to Find and Read Barcodes.","authors":"Ender Tekin, James M Coughlan","doi":"10.1109/WACV.2009.5403098","DOIUrl":"10.1109/WACV.2009.5403098","url":null,"abstract":"Most camera-based systems for finding and reading barcodes are designed to be used by sighted users (e.g. the Red Laser iPhone app), and assume the user carefully centers the barcode in the image before the barcode is read. Blind individuals could benefit greatly from such systems to identify packaged goods (such as canned goods in a supermarket), but unfortunately in their current form these systems are completely inaccessible because of their reliance on visual feedback from the user.To remedy this problem, we propose a computer vision algorithm that processes several frames of video per second to detect barcodes from a distance of several inches; the algorithm issues directional information with audio feedback (e.g. \"left,\" \"right\") and thereby guides a blind user holding a webcam or other portable camera to locate and home in on a barcode. Once the barcode is detected at sufficiently close range, a barcode reading algorithm previously developed by the authors scans and reads aloud the barcode and the corresponding product information. We demonstrate encouraging experimental results of our proposed system implemented on a desktop computer with a webcam held by a blindfolded user; ultimately the system will be ported to a camera phone for use by visually impaired users.","PeriodicalId":88971,"journal":{"name":"Proceedings. IEEE Workshop on Applications of Computer Vision","volume":"2009 ","pages":"1-8"},"PeriodicalIF":0.0,"publicationDate":"2009-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2898214/pdf/nihms159126.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"29110082","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Reading Challenging Barcodes with Cameras. 用相机读取具有挑战性的条形码。

Proceedings. IEEE Workshop on Applications of Computer Vision Pub Date : 2009-12-01 DOI: 10.1109/WACV.2009.5403090

Orazio Gallo, Roberto Manduchi

引用次数: 0