'Motion models' presentation slideshows

Image Stitching

Image Stitching. Panoramic Image Mosaics. Full screen panoramas (cubic): http://www.panoramas.dk/ Mars: http://www.panoramas.dk/fullscreen3/f2_mars97.html 2003 New Years Eve: http://www.panoramas.dk/fullscreen3/f1.html. Gigapixel panoramas & images. Mapping / Tourism / WWT.

1.87k views • 74 slides

SLAM: Robotic Simultaneous Location and Mapping

SLAM: Robotic Simultaneous Location and Mapping. With a great deal of acknowledgment to Sebastian Thrun. SLAM Lecture Outline. SLAM Robot Motion Models Robot Sensing and Localization Robot Mapping. The SLAM Problem. SLAM stands for simultaneous localization and mapping

1.32k views • 67 slides

Probabilistic Robotics: Motion Model/EKF Localization

Advanced Mobile Robotics. Probabilistic Robotics: Motion Model/EKF Localization. Dr. J izhong Xiao Department of Electrical Engineering CUNY City College jxiao@ccny.cuny.edu. Robot Motion. Robot motion is inherently uncertain. How can we model this uncertainty?. Bayes Filter Revisit.

636 views • 63 slides

Learning Human Pose and Motion Models for Animation

754 views • 61 slides

Probabilistic Robotics

Probabilistic Robotics. Probabilistic Motion Models. Robot Motion. Robot motion is inherently uncertain. How can we model this uncertainty?. Dynamic Bayesian Network for Controls, States, and Sensations. Probabilistic Motion Models.

534 views • 33 slides

Lecture 8 Segmentation of Dynamical Scenes

Lecture 8 Segmentation of Dynamical Scenes. One-body two-views. One-body multiple-views. A static scene: multiple 2D motion models. A dynamic scene: multiple 3D motion models. Motivation and problem statement. Given an image sequence, determine

326 views • 32 slides

Learning and Recognizing Human Dynamics in Video Sequences Christoph Bregler

Learning and Recognizing Human Dynamics in Video Sequences Christoph Bregler. Alvina Goh Reading group: 07/06/06. Motivation. Seeing lights attached to the joints of an actor, humans were able to distinguish human gaits, dance styles, stair climbing, or even the gender and identity.

348 views • 24 slides

Segmentation of Dynamic Scenes

243 views • 24 slides

Representing Moving Images with Layers

Representing Moving Images with Layers. J. Y. Wang and E. H. Adelson MIT Media Lab. Goal. Represent moving images with sets of overlapping layers Layers are ordered in depth and occlude each other Velocity maps indicate how the layers are to be warped over time.

348 views • 22 slides

Representing Moving Images with Layers

Representing Moving Images with Layers. J. Y. Wang and E. H. Adelson MIT Media Lab. Goal. Represent moving images with sets of overlapping layers Layers are ordered in depth and occlude each other Velocity maps indicate how the layers are to be warped over time.

421 views • 22 slides

Representing Moving Images with Layers

Representing Moving Images with Layers. CSE 455 Linda Shapiro from J. Y. Wang and E. H. Adelson MIT Media Lab. Goal. Represent moving images with sets of overlapping layers Layers are ordered in depth and occlude each other Velocity maps indicate how the layers are to be warped over time.

228 views • 22 slides

Segmentation of Dynamic Scenes from Image Intensities

169 views • 16 slides

Motion-Aware Routing in Vehicular Ad-hoc Networks

277 views • 15 slides