Self-Motion and Depth Estimation from Image Sequences

John A. Perrone

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JOURNAL ARTICLE

Self-Motion and Depth Estimation from Image Sequences

John A. Perrone

Year: 1999 Journal: NASA Technical Reports Server (NASA) Vol: 12 (4) Publisher: NASA Headquarters

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Abstract

The present study allowed the strategies identification that minimize fragmentation risk of care and promote the person participation in transitional care. Ensuring transitional care is imperative to increase the quality of care, the satisfaction of professionals, clients, and the development of a system of sustainable health.

Keywords:

Variety (cybernetics) Computer vision Motion (physics) Motion estimation Artificial intelligence Image (mathematics) Computer science Human motion Center (category theory) Aerospace Computer graphics (images) Engineering

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Topics

Infrared Target Detection Methodologies

Physical Sciences → Engineering → Aerospace Engineering

Advanced Optical Sensing Technologies

Physical Sciences → Physics and Astronomy → Instrumentation

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Self-Motion and Depth Estimation from Image Sequences

Abstract

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