Towards a Unified Framework for Pose, Expression, and Occlusion Tolerant Automatic Facial Alignment
Keshav Seshadri1, Marios Savvides1
1CyLab Biometrics Center and the Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|December 15, 2015
Summary
This study introduces a robust facial alignment algorithm that accurately localizes facial landmarks despite pose variations, occlusions, and illumination changes. The novel approach enhances accuracy over existing methods for computer vision applications.
Area of Science:
- Computer Vision
- Machine Learning
- Biometrics
Background:
- Facial landmark localization is crucial for many computer vision tasks.
- Existing methods struggle with variations in facial pose, occlusion, illumination, and expression.
Purpose of the Study:
- To develop a facial alignment algorithm that robustly handles pose variation, partial occlusion, and illumination/expression changes.
- To improve upon Active Shape Model (ASM) based facial landmark localization.
Main Methods:
- A sparse-to-dense landmarking strategy using specialized models for shape and texture variation.
- Incorporation of a novel l1-regularized least squares approach into the shape model.
Main Results:
- The proposed algorithm demonstrates superior fitting accuracy compared to state-of-the-art methods.
- High performance achieved across multiple challenging facial landmark localization datasets.
Conclusions:
- The novel facial alignment algorithm offers improved accuracy and robustness.
- This method advances facial analysis in unconstrained environments.
Related Concept Videos
01:14Muscles for Facial Expressions
5.6K
The craniofacial muscles are a collection of approximately 20 thin skeletal muscles situated beneath the skin of the face and scalp. These muscles, primarily responsible for the vast array of human facial expressions, originate from the bones or fibrous structures of the skull and extend outwards to connect with the skin. While most skeletal muscles in the body are enveloped in thick fascia, facial muscles generally have a more delicate fascial covering, with the buccinator muscle being a...
5.6K
01:24Facial Feedback Hypothesis
851
Charles Darwin proposed that facial expressions are an evolutionary adaptation for communication. He argued that these expressions are not influenced by culture but are universal across species. For example, a snarling expression with exposed teeth signals a threat in many animals, including humans. Darwin also suggested that displaying an emotion can intensify the feeling. Smiling, for example, could enhance one's sense of happiness. This idea laid the foundation for understanding the role...
851
01:20Structural Classification of Joints
8.7K
Joints, also known as articulations, are classified based on their structural characteristics, i.e., based on whether the articulating surfaces of the adjacent bones are directly connected by fibrous connective tissue or cartilage, or whether the articulating surfaces contact each other within a fluid-filled joint cavity. These differences serve to divide the joints of the body into three structural classifications.
A fibrous joint is where the adjacent bones are united by fibrous connective...
A fibrous joint is where the adjacent bones are united by fibrous connective...
8.7K
01:09Functional Classification of Joints
9.0K
Functional Classification of Joints
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An...
The functional classification of joints is determined by the amount of mobility between the adjacent bones. Joints are functionally classified as a synarthrosis or immobile joint, an amphiarthrosis or slightly moveable joint, or as a diarthrosis, a freely moveable joint. Fibrous and cartilaginous joints can be functionally classified as either synarthroses or amphiarthroses, whereas all synovial joints are classified as diarthroses.
Synarthrosis
An...
9.0K
01:19Masking and Demasking Agents
4.0K
EDTA titrations may necessitate masking and demasking agents to temporarily protect a particular metal ion in a mixture from the EDTA reaction. These agents facilitate the sequential analysis of the metal ions by forming stable complexes with some—but not all—metal ions during certain steps.
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
There are many masking agents, such as cyanide, fluoride, triethanolamine, thiourea, and 2,3-bis(sulfanyl)propan-1-ol (formerly 2,3-dimercapto-1-propanol), with the masking agent chosen based on...
4.0K
01:24Absolute Motion Analysis- General Plane Motion
694
Visualize a drone, with its propellers spinning rapidly, hovering mid-air. The fascinating movements and operations of this drone can be comprehended by applying the principle of general plane motion.
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
As the drone's propellers rotate, an upward force is generated that counteracts the force of gravity, enabling the drone to lift off from the ground. This initial movement of the drone is along a straight path, representing a form of translational motion. In this phase, every point on the...
694