{"id":17224,"date":"2020-09-09T08:33:18","date_gmt":"2020-09-09T08:33:18","guid":{"rendered":"https:\/\/www.inspirenignite.com\/mh\/ce705-computer-vision-syllabus-for-ce-7th-sem-2017-18-dbatu-elective-x\/"},"modified":"2020-09-09T08:33:18","modified_gmt":"2020-09-09T08:33:18","slug":"ce705-computer-vision-syllabus-for-ce-7th-sem-2017-18-dbatu-elective-x","status":"publish","type":"post","link":"https:\/\/www.inspirenignite.com\/mh\/ce705-computer-vision-syllabus-for-ce-7th-sem-2017-18-dbatu-elective-x\/","title":{"rendered":"CE705: Computer-VIsion Syllabus for CE 7th Sem 2017-18 DBATU (Elective-X)"},"content":{"rendered":"

Computer-VIsion detailed syllabus scheme for Computer Engineering (CE), 2017-18 onwards has been taken from the DBATU<\/a> official website and presented for the Bachelor of Technology students. For Subject Code, Course Title, Lecutres, Tutorials, Practice, Credits, and other information, do visit full semester subjects post given below. <\/p>\n

For 7th Sem Scheme of Computer Engineering (CE), 2017-18 Onwards, do visit CE 7th Sem Scheme, 2017-18 Onwards<\/a>. For the Elective-X scheme of 7th Sem 2017-18 onwards, refer to CE 7th Sem Elective-X Scheme 2017-18 Onwards<\/a>. The detail syllabus for computer-vision is as follows.<\/p>\n

Computer-VIsion Syllabus for Computer Engineering (CE) 4th Year 7th Sem 2017-18 DBATU<\/h2>\n

Computer-Vision<\/title><\/p>\n<h4>Course Objectives and Outcomes:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Unit I<\/h4>\n<p> <strong>Digital Image Formation and low-level processing:<\/strong> Overview and State-of-the-art, Fundamentals of Image Formation, Transformation: Orthogonal, Euclidean, Affine, Projective, etc; Fourier Transform, Convolution and Filtering, Image Enhancement, Restoration, Histogram Processing.<br \/>\n <strong>Depth estimation and Multi-camera views:<\/strong> Perspective, Binocular Stereopsis: Camera and Epipolar Geometry; Homography, Rectification, DLT, RANSAC, 3-D reconstruction framework; Auto-calibration.<\/p>\n<h4>Unit II<\/h4>\n<p> <strong>Feature Extraction:<\/strong> Edges – Canny, LOG, DOG; Line detectors (Hough Transform), Corners – Harris and Hessian Affine, Orientation Histogram, SIFT, SURF, HOG, GLOH, Scale-Space Analysis- Image Pyramids and Gaussian derivative filters, Gabor Filters and DWT.<\/p>\n<h4>Unit III<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Unit IV<\/h4>\n<p> <strong>Motion Analysis:<\/strong> Background Subtraction and Modeling, Optical Flow, KLT, Spatio-Temporal Analysis, Dynamic Stereo; Motion parameter estimation.<br \/>\n Light at Surfaces; Phong Model; Reflectance Map; Albedo estimation; Photometric Stereo; Use of Surface Smoothness Constraint; Shape from Texture, color, motion and edges.<\/p>\n<h4>Unit V<\/h4>\n<p> <strong>Miscellaneous:<\/strong> Applications: CBIR, CBVR, Activity Recognition, computational photography, Biometrics, stitching and document processing; Modern trends – super-resolution; GPU, Augmented Reality; cognitive models, fusion and SRandCS.<\/p>\n<h4>Text Books:<\/h4>\n<p id=\"istudy\" style=\"text-align:center\">For the complete syllabus, results, class timetable, and many other features kindly download the <a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy\" target=\"_blank\" rel=\"noopener\">iStudy App<\/a><br \/><b> It is a lightweight, easy to use, no images, and no pdf platform to make students’s lives easier.<\/b><br \/><a href=\"https:\/\/play.google.com\/store\/apps\/details?id=ini.istudy&pcampaignid=pcampaignidMKT-Other-global-all-co-prtnr-py-PartBadge-Mar2515-1\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" src=\"https:\/\/play.google.com\/intl\/en_us\/badges\/static\/images\/badges\/en_badge_web_generic.png\" alt=\"Get it on Google Play\" style=\"height:65px\"><\/a>. <\/p>\n<h4>Reference Book:<\/h4>\n<ol>\n<li>Richard Hartley and Andrew Zisserman, Multiple View Geometry in Computer Vision, Second Edition, Cambridge University Press, March 2004.<\/li>\n<li>K. Fukunaga, Introduction to Statistical Pattern Recognition, Second Edition, Academic Press, Morgan Kaufmann, 1990.<\/li>\n<li>R.C. Gonzalez and R.E. Woods, Digital Image Processing, Addison- Wesley, 1992.<\/li>\n<\/ol>\n<p align=\"justify\">For detail syllabus of all subjects of Computer Engineering (CE) 7th Sem 2017-18 onwards, visit <a href=\"..\/category\/dbatu\/7th-sem-dbatu\">CE 7th Sem Subjects <\/a>of 2017-18 Onwards.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Computer-VIsion detailed syllabus scheme for Computer Engineering (CE), 2017-18 onwards has been taken from the DBATU official website and presented for the Bachelor of Technology students. For Subject Code, Course […]<\/p>\n","protected":false},"author":2351,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[105],"tags":[],"class_list":["post-17224","post","type-post","status-publish","format-standard","hentry","category-ce-dbatu"],"_links":{"self":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts\/17224","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/users\/2351"}],"replies":[{"embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/comments?post=17224"}],"version-history":[{"count":0,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/posts\/17224\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/media?parent=17224"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/categories?post=17224"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.inspirenignite.com\/mh\/wp-json\/wp\/v2\/tags?post=17224"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}