PPT-Silhouette-based Object Phenotype Recognition using 3D Shap

Yu Chen 1 Tae Kyun Kim 2 Roberto Cipolla 1   University of Cambridge Cambridge UK 1 Imperial College London UK 2   Problem Description Task To identify the phenotype class of deformable objects. Real-Time Anti-Aliasing . http://. www.iryoku.com. /. aacourse. /. Filtering Approaches for Real-Time Anti-Aliasing . Morphological Anti-Aliasing. Alexander . Reshetov. Intel Labs. alexander.reshetov@intel.com. Multiview. Stereo. Ian Simon. Multiview. Stereo Problem. Input:. a collection of images of a rigid object (or scene). camera parameters for each image. Multiview. Stereo Problem. Output:. a 3D model of the object. Painting shadows and sunsets. What are silhouettes?. Silhouettes are objects that are fully black like a shadow.. When creating a silhouette, you only draw the outline of an object and then color it in black.. Zhiyong Yang. Brain and Behavior Discovery Institute. James and Jean Culver Vision . Discovery Institute. Department of Ophthalmology. Georgia Regents University. April. . 4, 2013. Outline. A model of pattern recognition . www.silhouetteamerica.com 2 Table of Contents Silhouette Studio Silhouette . Backlighting. when bright lights show behind a subject. it obscures subjects completely (similar to a silhouette). IT IS BAD. Backlighting. http://. www.youtube.com/watch?v. =. gxetoSmzVBM&safety_mode. Look at the silhouettes of a couple as they appear.. Discuss what you think is happening in the scene. Silhouette 1:. Healthy Relationships. Look at the silhouettes of a couple as they appear.. Discuss what you think is happening in the scene. To create own . working. barcode design. Video. https://www.youtube.com/watch?v=VbHzx4nWqWY. Designing barcodes. We are going to be designing our own barcodes. But first, take a look at these:. http://www.ucreative.com/inspiration/these-japanese-barcodes-are-so-kawaii-2/. Kaushik . Nandan. 1. Contents:. Introduction. Related . Work. Segmentation as Selective . Search. Object Recognition . System. Evaluation. Conclusions. References. 2. 1. Introduction. Object recognition: determining . Linda Shapiro. CSE 455. 1. Face recognition: once you’ve detected and cropped a face, try to recognize it. Detection. Recognition. “Sally”. 2. Face recognition: overview. Typical scenario: few examples per face, identify or verify test example. On the right you see the silhouette of a spinning figurine. Does she spin clockwise or counterclockwise?. Now keep watching.. Can you mentally make her spin in the other direction? . Silhouettes are ambiguous. They can turn either way and it would look exactly the same. Our brains try to reconstruct the third dimension, adding information that is not really there.. Assistant Professor in Computer Science. Georgia State University. http://www.panacealab.org/. Defining ‘phenotype’. A phenotype is a specification of an observable, potentially changing state of an organism (as distinguished from the genotype, derived from genetic makeup). . What is your overall interpretation?. How do you evaluate for PA enlargement on a chest radiograph?. Enlarged “moguls” of the . cardiomediastinal. silhouette.. Cardiomegaly with massive enlargement of the central pulmonary arteries.. the OMOP . common data . model in . eMERGE. George Hripcsak, MD, MS. Biomedical Informatics, Columbia University. Medical Informatics Services, . NewYork. -Presbyterian. Biomedical Informatics. discovery and impact.