Computer Graphics, Computer Vision, Artificial Intelligence and Their Synergies in the Era of Productivity 4.0

Dear Colleagues,

In the rapidly evolving landscape of technology, the convergence of computer graphics, computer vision and artificial intelligence has ushered in a new era of innovation, particularly in the realm of Productivity 4.0. At the core of this convergence lies the transformative potential to reshape industry, medicine, agriculture and other relevant sectors.

Computer graphics stands as a cornerstone, offering visual representations that transcend traditional boundaries while meeting faithfulness requirements for an increased perception and intuition. Through the extension of the physical world to digital environments—e.g., resorting to virtual or augmented reality (VR, AR)—it facilitates, for instance, the training, simulation and assistance in technical procedures of variable complexity, with the aim of enhancing professionals and their productivity, with applicability in many socioeconomic sectors.

Similarly, computer vision emerges as a pivotal umbrella of tools for real-world context interpretation. Its ability to discern and analyze visual data within specific contexts empowers industries to streamline processes, optimize operations, and unlock new avenues of efficiency. From medical diagnosis to monitoring industrial workflows and optimizing agricultural practices, computer vision has been truly transformative in what concerns to the support of human operators/decision makers to performing dull and error susceptible tasks.

Yet, perhaps the most profound impact arises from the integration of artificial intelligence into these domains. Predictive and generative AI approaches serve as engines of innovation, enabling pattern computation and data interpretability at unprecedented scales. In the realms of medicine, industry, agriculture and other professional fields, AI-driven decision support systems empower stakeholders with actionable insights, driving core activities to performance levels that could hardly be attained before AI proliferation.

However, the true power lies in the synergy between these research fields. The combination of computer vision and artificial intelligence is a well-known symbiosis that enhances classification, segmentation and object detection capabilities, paving the way for scalable solutions with unparalleled precision. Notwithstanding, other synergies can also be explored. For example, the fusion of computer graphics with artificial intelligence has the potential to enable automated storytelling, reforming VR-based training procedures by providing immersive, personalized learning experiences. On the other hand, AI-powered computer vision in combination with AR allows step-by-step validation of technical procedures requiring a specific sequence. Likewise, computer graphics may be used as a conduit for automated data synthesis, fueling the training of AI algorithms with realistic, diverse datasets.

In this Special Issue, we invite contributions that explore the myriad intersections between computer graphics, computer vision, and artificial intelligence. Whether through novel methods, innovative techniques, or groundbreaking applications, we seek to elucidate the transformative potential of these research fields individually and in concert, to harness their potential for propelling humanity, in the era of Productivity 4.0.

Dr. Telmo Adão
Dr. Emanuel Peres
Guest Editors

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• computer graphics
• extended reality
• human–computer interaction
• digital image processing
• computer vision
• artificial intelligence
• deep learning
• machine learning
• data synthetization
• decision support
• productivity 4.0