PPT-Computer Vision – TP7 Segmentation

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Miguel Tavares Coimbra Computer Vision TP7 Segmentation Outline Introduction to segmentation Thresholding Region based segmentation 2 Computer Vision TP7 Segmentation

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Computer Vision – TP7 Segmentation: Transcript


Miguel Tavares Coimbra Computer Vision TP7 Segmentation Outline Introduction to segmentation Thresholding Region based segmentation 2 Computer Vision TP7 Segmentation Topic Introduction to segmentation. - continuous and discrete approaches . 2 : . Exact . and approximate techniques. . - non-submodular and high-order problems. 3: Multi-region segmentation (Milan). - high-dimensional applications . Approach for Topology-Change-Aware Video Matting. Jinlong Ju. 1. , Jue Wang. 3. , . Yebin. Liu. 1. , . Haoqian. Wang. 2. , . Qionghai. Dai. 1. Department of Automation, Tsinghua University, China. Daphne . Laino. and Danielle Roy. What is Segmentation?. Process of partitioning an image into segments. Segments are called . superpixels. Superpixels. are made up several pixels that have similar properties. By: A’laa . Kryeem. Lecturer: . Hagit. Hel-Or. What is . Segmentation from . Examples. ?. Segment an image based on one (or more) correctly segmented image(s) assumed to be from the same . domain. 1. NADINE GARAISY. GENERAL DEFINITION. 2. A drainage basin or watershed is an extent or an area of land where surface water from rain melting snow or ice converges to a single point at a lower elevation, usually the exit of the basin, where the waters join another . - continuous and discrete approaches . 2 : . Exact . and approximate techniques. . - non-submodular and high-order problems. 3: Multi-region segmentation (Milan). - high-dimensional applications . Chapter Objectives. After . reading this chapter you should be able . to:. Appreciate . the importance of market segmentation for specific consumer groups and realize that the targeting decision is the initial and most fundamental of all . Kirk Smith . October . 2015. Session Topics. Who are your competitors…really?. Market Segmentation. How do customers choose between options. ?. Building a marketing strategy (STP). Some stuff I could buy. Yassine Benajiba. 1. and . Imed. Zitouni. 2. 1 CCLS, Columbia University. 2 IBM T.J. Watson Research Center. ybenajiba@ccls.columbia.edu. , . izitouni@us.ibm.com. . Outline. The Arabic Language. ATB vs. Morph segmentation. Dingding. Liu * . Kari . Pulli † . Linda . Shapiro * . Yingen. . Xiong. † . † . Nokia . Research. Center, Palo Alto, CA 94304, USA. *Dept. Elect. Eng., University of Washington, WA 98095, USA. Kirk Smith . Fall . 2017. Session Topics. Who are your competitors…really?. Market Segmentation. How do customers choose between options?. Building a marketing strategy (STP). Some stuff I could buy. Concerned with the individuals, institutions, or groups of individuals or institutions that have similar needs that can be met by a particular product offering. The goal is to identify specific customer needs, then design a marketing program that can satisfy those needs.. Walter J. . Scheirer. , . Samuel . E. . Anthony, Ken Nakayama & David . D. . Cox. IEEE Transactions on Pattern Analysis and Machine Intelligence (2014), 36(8), 1679-1686. Presented by: Talia Retter. Kaushik . Nandan. 1. Contents:. Introduction. Related . Work. Segmentation as Selective . Search. Object Recognition . System. Evaluation. Conclusions. References. 2. 1. Introduction. Object recognition: determining .

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