Ling Shao, Jungong Han, Pushmeet Kohli, Zhengyou Zhang's Computer Vision and Machine Learning with RGB-D Sensors PDF

By Ling Shao, Jungong Han, Pushmeet Kohli, Zhengyou Zhang

ISBN-10: 3319086502

ISBN-13: 9783319086507

ISBN-10: 3319086510

ISBN-13: 9783319086514

This e-book offers an interdisciplinary number of state-of-the-art examine on RGB-D dependent computing device imaginative and prescient. gains: discusses the calibration of colour and intensity cameras, the aid of noise on intensity maps and strategies for taking pictures human functionality in 3D; experiences a variety of functions which use RGB-D details to reconstruct human figures, overview strength intake and acquire exact motion class; offers an technique for 3D item retrieval and for the reconstruction of fuel movement from a number of Kinect cameras; describes an RGB-D computing device imaginative and prescient procedure designed to help the visually impaired and one other for smart-environment sensing to help aged and disabled humans; examines the powerful positive aspects that symbolize static hand poses and introduces a unified framework to implement either temporal and spatial constraints for hand parsing; proposes a brand new classifier structure for real-time hand pose acceptance and a singular hand segmentation and gesture reputation system.

Show description

Read or Download Computer Vision and Machine Learning with RGB-D Sensors PDF

Similar human-computer interaction books

Read e-book online Makers at Work: Folks Reinventing the World One Object or PDF

What do you get if you mix an electronics hobbyist, hacker, storage mechanic, kitchen desk inventor, tinkerer, and entrepreneur? A “maker,” in fact. Playful and artistic, makers are—through services and experimentation—creating paintings, items, and methods that fluctuate the best way we expect and have interaction with the realm.

Download e-book for iPad: Communicating the UX Vision: 13 Anti-Patterns That Block by Martina Schell, James O'Brien

This booklet identifies the thirteen major demanding situations designers face after they speak about their paintings and gives conversation options in order that a greater layout, now not a louder argument, is what makes it into the area. it's a indisputable fact that all of us are looking to placed nice layout into the area, yet no product ever makes it out of the development with no rounds of reports, suggestions, and signoff.

New PDF release: Taking your iPhoto '11 to the max

Taking Your iPhoto '11 to the Max walks clients via Apple's hottest software program program within the iLife suite--iPhoto. This e-book is helping humans use iPhoto to its fullest to prepare and create electronic stories and keepsakes in their existence. examine all approximately Apple's most modern model of iPhoto--iPhoto '11 discover iPhoto one menu button at a time Walk-through tutorials consultant you step-be-step What you are going to research: the right way to import latest photograph libraries from well known home windows functions tips on how to arrange and edit your photographs tips to tag and type your photographs utilizing iPhoto's Faces and areas features How to create occasions, albums, and clever photograph albumsCreate customized keepsakes like books, playing cards, and slideshows utilizing your pictures percentage your images through MobileMe, Flickr, and fb.

Contextual Design: Defining Customer-Centered Systems - download pdf or read online

This publication introduces a customer-centered method of company by means of exhibiting how information amassed from humans whereas they paintings can force the definition of a product or procedure whereas helping the desires of groups and their businesses. this can be a useful, hands-on advisor for an individual attempting to layout structures that replicate the way in which shoppers are looking to do their paintings.

Extra resources for Computer Vision and Machine Learning with RGB-D Sensors

Sample text

In a rather invasive approach Faion et al. [11] manage to toggle the projector subsystem to perform measurements similar to Schroeder et al. [44]. They use Bayesian state estimator to intelligently schedule which sensor is to be selected for the next time frame. Their maximal reconstruction error denotes 21 mm. Kainz et al. [19] describe an elaborate setup for eight Kinects mounted on vibrating rods and one freely moving Kinect suitable for various applications, such as motion capturing and reconstruction.

In: IEEE/RSJ international conference on intelligent robots and systems (IROS). IEEE, pp 3993–3999 12. Fuhrmann AL, Kretz J, Burwik P (2013) Multi sensor tracking for live sound transformation 13. Glocker B, Izadi S, Shotton J, Criminisi A (2013) Real-time RGB-D camera relocalization. In: International symposium on mixed and augmented reality. Springer 14. Han J, Shao L, Xu D, Shotton J (2013) Enhanced computer vision with microsoft kinect sensor: a review 15. Hossny M, Filippidis D, Abdelrahman W, Zhou H, Fielding M, Mullins J, Wei L, Creighton D, Puri V, Nahavandi S (2012) Low cost multimodal facial recognition via kinect sensors.

In: IEEE international conference on computer vision workshops (ICCV workshops). IEEE, pp 1108–1113 8. Berger K, Ruhl K, Brümmer C, Schröder Y, Scholz A, Magnor M (2011) Markerless motion capture using multiple color-depth sensors. In Proceedings of vision, modeling and visualization (VMV), vol 2011, p 3 9. Butler DA, Izadi S, Hilliges O, Molyneaux D, Hodges S, Kim D (2012) Shake‘n’sense: reducing interference for overlapping structured light depth cameras. In: Proceedings of the 2012 ACM annual conference on human factors in computing systems.

Download PDF sample

Computer Vision and Machine Learning with RGB-D Sensors by Ling Shao, Jungong Han, Pushmeet Kohli, Zhengyou Zhang

by Kevin

Rated 4.89 of 5 – based on 9 votes