Related Experiment Video
Updated: Jan 28, 2026
06:37
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
Published on: December 15, 2023
5.3K
LLM-Based Pose Normalization and Multimodal Fusion for Facial Expression Recognition in Extreme Poses
Bohan Chen1, Bowen Qu1, Yu Zhou1
1School of Information Engineering, Zhongnan University of Economics and Law, Wuhan 430073, China.
Journal of Imaging
|January 27, 2026
Summary
This study introduces a novel facial expression recognition (FER) method that transforms profile images to frontal views and uses multimodal learning. This approach significantly improves accuracy for non-frontal facial images.
Area of Science:
- Computer Science
- Artificial Intelligence
Background:
- Facial expression recognition (FER) systems struggle with accuracy for non-frontal or rotated faces.
- Current FER methods are limited by pose variations, hindering real-world applications.
Purpose of the Study:
- To enhance FER accuracy by addressing challenges posed by large pose variations.
- To develop a robust FER method capable of recognizing expressions from profile and large-angle rotated facial images.
Main Methods:
- Proposed a novel FER method combining profile-to-frontal image transformation and multimodal learning.
- Utilized Qwen-Image-Edit for transforming profile images to frontal views, preserving expression features.
- Employed the CLIP model for vision-language joint learning to improve semantic representation of expression features.
Main Results:
- Achieved high accuracy on benchmark datasets: RAF (89.39%), EXPW (67.17%), and AffectNet-7 (62.66%).
- Demonstrated superior performance compared to existing FER approaches, particularly for challenging poses.
Conclusions:
- The proposed profile-to-frontal transformation and multimodal learning approach effectively mitigates pose variation issues in FER.
- This method offers a significant advancement for practical and accurate facial expression recognition systems.
Keywords:
CLIP modelfacial expression recognitionmultimodal learningprofile-to-frontal face normalizationMore Related Videos
05:51Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
Published on: May 15, 2016
9.4K
05:38Interaction between Phonological and Semantic Processes in Visual Word Recognition using Electrophysiology
Published on: June 29, 2021
2.8K
Related Concept Videos
01:14Muscles for Facial Expressions
4.8K
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...
4.8K
02:45Nuclear Fusion
33.8K
The process of converting very light nuclei into heavier nuclei is also accompanied by the conversion of mass into large amounts of energy, a process called fusion. The principal source of energy in the sun is a net fusion reaction in which four hydrogen nuclei fuse and ultimately produce one helium nucleus and two positrons.
A helium nucleus has a mass that is 0.7% less than that of four hydrogen nuclei; this lost mass is converted into energy during the fusion. This reaction produces about...
A helium nucleus has a mass that is 0.7% less than that of four hydrogen nuclei; this lost mass is converted into energy during the fusion. This reaction produces about...
33.8K
01:24Facial Feedback Hypothesis
651
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...
651
01:19Normal Stress
1.4K
Normal stress is a type of stress that occurs when forces act perpendicular, or normal, to a material's cross-sectional area. This stress often arises in structures when subjected to axial loading, which is the application of force along the axis of an object. A practical example of this can be found in bridge truss members.
When a rod is under axial loading, the internal forces and corresponding stress are normal to the plane of the section, so it is termed normal stress. It's important to...
When a rod is under axial loading, the internal forces and corresponding stress are normal to the plane of the section, so it is termed normal stress. It's important to...
1.4K
01:22Absolute and Local Extreme Values
60
The highest and lowest values of a function, relative to a reference axis, are known as extreme values. These include absolute maximum and absolute minimum values, which represent the highest and lowest points the function reaches across its entire domain. Within a restricted portion of the function, the highest and lowest values are referred to as local maximum and local minimum values, respectively.Periodic functions, such as sine and cosine, show extreme values at infinitely many points due...
60
01:11Normal Distribution
17.1K
The normal, a continuous distribution, is the most important of all the distributions. Its graph is a bell-shaped symmetrical curve, which is observed in almost all disciplines. Some of these include psychology, business, economics, the sciences, nursing, and, of course, mathematics. Some instructors may use the normal distribution to help determine students’ grades. Most IQ scores are normally distributed. Often real-estate prices fit a normal distribution. The normal distribution is...
17.1K