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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Riemannian Computing in Computer Vision

Riemannian Computing in Computer Vision

Turaga, Pavan K.
Srivastava, Anuj

Hardcover

Technology & EngineeringGeneral MathematicsProgramming

ISBN10: 3319229567
ISBN13: 9783319229560
Publisher: Springer Nature
Published: Nov 18 2015
Pages: 391
Weight: 1.62
Height: 0.88 Width: 6.14 Depth: 9.21
Language: English
This book presents a comprehensive treatise on Riemannian geometric computations and related statistical inferences in several computer vision problems. This edited volume includes chapter contributions from leading figures in the field of computer vision who are applying Riemannian geometric approaches in problems such as face recognition, activity recognition, object detection, biomedical image analysis, and structure-from-motion. Some of the mathematical entities that necessitate a geometric analysis include rotation matrices (e.g. in modeling camera motion), stick figures (e.g. for activity recognition), subspace comparisons (e.g. in face recognition), symmetric positive-definite matrices (e.g. in diffusion tensor imaging), and function-spaces (e.g. in studying shapes of closed contours).

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