Ricci Flow for Shape Analysis and Surface Registration - Practical
Ricci Flow for Shape Analysis and Surface Registration - Practical
Price subject to change. Tap below for current.
Couldn't load pickup availability
In this review of Ricci Flow for Shape Analysis and Surface Registration readers will find a clear bridge between theory and computation; the book is targeted at engineers, researchers and advanced students who need a practical introduction to surface Ricci flow. The single biggest reason to buy is its focus on a discrete, hands-on presentation that lets practitioners derive major theorems using only basic linear algebra and multivariate calculus, making Ricci flow accessible without heavy differential geometry prerequisites.
Key Features
- Discrete Ricci theory: Presents the Ricci flow in a discrete setting so readers can apply it directly to mesh-based computations for shape analysis.
- Accessible math: Uses only basic linear algebra and multivariate calculus so engineers and applied researchers can deduce the main theorems themselves.
- Algorithmic focus: Adapts theory into practical computational algorithms that are suitable for implementation in graphics and imaging pipelines.
- Application breadth: Demonstrates uses in medical imaging, computer graphics and computer vision, showing how Ricci flow aids shape analysis and surface registration.
- Minimal prerequisites: Designed for readers without deep geometry backgrounds, making it useful for educators, industry engineers and graduate students.
Who It's For
The book is best for applied mathematicians, computer scientists and engineers working on mesh processing, surface registration or shape analysis who want a mathematically grounded yet implementable treatment. Graduate students in computer vision or computational geometry will find the book a compact reference for both proofs and algorithms.
It is less appropriate for readers seeking a broad introduction to differential geometry unrelated to discrete algorithms, or for absolute beginners with no calculus or linear algebra background; those readers should first consult introductory texts on foundational mathematics.
Pros & Cons
Pros
- Clear translation of continuous Ricci flow theory into a discrete, implementable form.
- Practical algorithms accompany theory, helping bridge research and real applications in surface registration.
- Minimal prerequisites make it accessible to engineers and medical imaging practitioners.
Cons
- Specialized focus means readers seeking broad geometry coverage may need supplemental texts.
Specifications
| Title | Ricci Flow for Shape Analysis and Surface Registration |
| Series | SpringerBriefs in Mathematics |
| Authors | Wei Zeng, Xianfeng David Gu |
| Subject focus | Discrete Ricci flow, shape analysis, surface registration |
| Target readers | Engineers, researchers, students, medical imaging practitioners |
| Applications highlighted | Medical imaging, computer graphics, computer vision, sensor networks |
Our Verdict
Ricci Flow for Shape Analysis and Surface Registration is a compact, well-focused resource for practitioners who need a usable account of Ricci flow on surfaces. Its combination of hands-on derivations and algorithms makes it good value for researchers and engineers seeking to implement shape analysis and registration methods without wading through heavier theoretical texts.
Frequently Asked Questions
Is this book suitable for implementers?
Yes. The authors adapt theory into computational algorithms that are intended for implementation in mesh and imaging pipelines.
Do I need advanced geometry background?
No. The text relies on basic linear algebra and multivariate calculus rather than advanced differential geometry.
What application areas are covered?
Examples and discussions include medical imaging, computer graphics, computer vision and wireless sensor network applications.
Editor's Take
A compact, practical guide that translates Ricci flow theory into discrete, implementable algorithms for shape analysis and surface registration, ideal for engineers and researchers needing a mathematically grounded reference.

Recently viewed
Recently viewed products will appear here as customers browse the store.