PPT-Pose!

A workshop b y Dr Mark Ingham 2014 When was the first photograph taken Enhanced version of Nicéphore Niépces View from the Window at Le Gras 1826 the earliest surviving photograph of a scene from nature taken with a camera . After a brief introductionmotivation for the need for parts the bulk of the chapter will be split into three core sections on Representation Inference and Learning We begin by describing various gradient based and color descriptors for parts We will Can you muster a . Tigger. -like Bounce in your classroom?. What is it?. PPPB (Pose, Pause, Pounce, Bounce) . is a . simple, yet sophisticated, . AfL. (Assessment for Learning) questioning technique to help teachers move from good-to-outstanding. It also helps address differentiation in the classroom and encourages teachers . ” . Sequence. Get your butt grounded then flow . Grounding 45min . flow. Source: . www.yogaraj.eu. Pictures: . www.yogajournal.com. Corpse Pose/Relaxation pose –. Savasana. Source: . www.yogaraj.eu. BREATHE. Begin by standing in Mountain pose. 3 or 4 Deep breaths into the belly. Raise arms up on inhale & down on exhale (4 or 5X). Rotate shoulders 5X each way . Reach up into Volcano pose – breath 3 power breaths. Yu Chen, Tae-. K. yun. Kim, Roberto . Cipolla. Department of Engineering. University of Cambridge. Roadmap. Brief Introductions. Our Framework. Experimental Results. Summary. Motivation. +. 3D Shapes. Recognition. (CVPR’04). Greg Mori, . Xiaofeng. . Ren. , Alexei A. . Efros. and . Jitendra. . Malik. - Pose primitive based human action . recognition in videos or still . images. (CVPR’08). Christian . Hamed Pirsiavash and Deva . Ramanan. Department of Computer Science. UC Irvine . 2. Deformable . part models . (DPM). Human pose estimation. Face pose estimation. Object detection. Felzenszwalb. , . Girshick. Tompson. , Murphy Stein, Yann . LeCun. , Ken . Perlin. REAL-TIME CONTINUOUS POSE RECOVERY OF . HUMAN HANDS USING CONVOLUTIONAL NETWORKS. Target: low-cost . markerless. . mocap. Full articulated pose with high . Transductive. Regression Forests . Tsz-Ho. Yu. Danhang. . Tang. T-K. Kim. Sponsored by . 2. Motivation. Multiple cameras with invserse kinematics. [Bissacco et al. CVPR2007]. [Yao et al. IJCV2012]. Yoga. Equipment. Yoga mat. Yoga ball. Water bottle . Yoga bolster . Yoga strap . Monday (1 hour). Warm up: dog pose, warrior 2 pose, tree pose for 15 minutes. Core yoga for 15 minutes. Arm balances for 5 minutes. Leonid . Pishchulin. . . Arjun. Jain. . Mykhaylo. . Andriluka. Thorsten . Thorm¨ahlen. . Bernt. . Schiele. Max . Planck Institute for Informatics, . Saarbr¨ucken. , Germany. Introduction. Generation of novel training . Bangpeng Yao and Li Fei-Fei. Computer Science Department, Stanford University. {bangpeng,feifeili}@cs.stanford.edu. 1. Robots interact with objects. Automatic sports commentary. “Kobe is dunking the ball.”. Zhenglong . Zhou, Bo Shu, Shaojie Zhuo, Xiaoming Deng, Ping Tan, . Stephen . Lin. *. National . University of . Singapore, . Microsoft . Research . Asia. *. Virtual Clothes Fitting. Awesaba (Aveilan). Pelvic Tilt. 3. Bridge Pose. 4. Rocking. 5. Little Boat Twist. 6. Cat. 7. Swan. 8. Table Balancing Pose. 9. Thread the Needle. 10. Cobra. 11 . Corpse. Rocking. Swan. 1. 2. 3. 4. 5. 6. 7. 8. 9. 0. 1. Chair.