Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Automatic construction of active appearance models as an image coding problem.

Simon Baker1, Iain Matthews, Jeff Schneider

  • 1The Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213, USA. simonb@cs.cnu.edu

IEEE Transactions on Pattern Analysis and Machine Intelligence
|January 12, 2005
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Optimising cancer support for rural residents from a refugee background: changing models of access and care.

Australian journal of primary health·2026
Same author

A description of patient experience after undergoing an emergency laparotomy.

World journal of emergency surgery : WJES·2026
Same author

Can China keep up its extraordinary research growth?

Nature·2026
Same author

ChIP happens: from biochemical origins to the modern omics toolbox for understanding steroid hormone receptors.

The Biochemical journal·2026
Same author

BioTriplex: a full-text annotated corpus for fine-tuning language models in gene-disease relation extraction tasks.

Bioinformatics (Oxford, England)·2026
Same author

Optimising the implementation of a universal web-based mental health service for Australian secondary schools: a cluster randomised controlled trial.

Child and adolescent psychiatry and mental health·2025
Same journal

HardFlow: Hard-Constrained Sampling for Flow-Matching Models Via Trajectory Optimization.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Industrial Brain: Self-Evolving Neuro-Symbolic Autonomy with Causal Resilience for Cyber-Physical Systems.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Adaptive Hardness-Driven Dictionary Distillation for Incomplete Streaming View Clustering.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Task-KV: Task-aware KV Cache Optimization via Semantic Differentiation of Attention Heads.

IEEE transactions on pattern analysis and machine intelligence·2026
Same journal

Achieving Text-based Person Retrieval with Any Granularity.

IEEE transactions on pattern analysis and machine intelligence·2026
See all related articles

This study reframes Active Appearance Model (AAM) construction as an energy-minimizing image coding challenge. An efficient gradient-descent algorithm is proposed to solve this novel formulation for AAMs.

Area of Science:

  • Computer Vision
  • Machine Learning
  • Image Analysis

Background:

  • Active Appearance Models (AAMs) are crucial for image analysis tasks.
  • Traditional AAM construction focuses on locating base mesh vertices in training images.

Purpose of the Study:

  • To propose a novel approach for the automatic construction of Active Appearance Models.
  • To reframe the AAM construction problem as an energy-minimizing image coding task.

Main Methods:

  • Developed an energy-minimizing image coding framework for AAM construction.
  • Implemented an efficient gradient-descent algorithm to solve the posed problem.

Main Results:

  • Successfully reformulated AAM construction as an image coding problem.

Related Experiment Videos

  • Demonstrated an efficient gradient-descent approach for solving the reformulated problem.

    • Conclusions:

    • The proposed energy-minimizing image coding approach offers an efficient alternative for AAM construction.
    • This reframing facilitates automated and potentially more robust AAM generation.