Posted: August 9th, 2022

Ray Tracing (3D Computer Graphics)

Computer Sciences and Information Technology
Topic:
Ray Tracing (3D Computer Graphics)
.Cite your sources. You must locate and cite THREE or MORE independent sources for your report. You must directly quote (within quote marks) and/or paraphrase each of them. Giving proper credit is a hallmark of research; it gives credit where it is due; it allows the reader to follow up. Using someone else’s work without giving credit is plagiarism. These videos, created for this course, provide short introductions to some of the topics. Remember that your research and report should investigate its relationship to the topic at hand. For example, if you choose one of the people you should concentrate on their contribution to computing rather than other aspects of their biography. on slides there is no need to have work cited page. but please dont forget to have work cited page on paper tho and also it should be at least 3 or more. Each project will relate to some aspect of computing about which abundant information is available – on the Web and elsewhere. I put the deadline December 4th but please try to be done with it by 3rd something thanks…
Artificial Intelligencehttp://vimeo.com/16322159
Computational Costshttp://vimeo.com/17277312
Software Engineering https://vimeo.com/16836888
The Internethttp://vimeo.com/15278023
What Is Computing?http://vimeo.com/14860090
Ray Tracing (3D Computer Graphics)
Ray tracing (3D Computer Graphics) plays a significant role in producing mathematically modeled visualization of the programmed scene, an aspect that is achieved through a combination of innovations and technological advancement. The ray-tracing technology adopts different technique where a general technique arising from geometrical optics of modeling the light path through following light rays as they interrelate with optical surfaces. Additionally, a technique allowing rays from the eye-point outward as opposed to originating from the light sources (Xing et al., 334). The ray-tracing techniques are incorporated in the designing of binoculars, telescopes, microscopes, and camera lenses. Ray tracing ensures that the algorithmic approach in 3D computer graphics. Incorporating the ray-tracing approach ensures that visualization has improved and advanced optical effects that are characterized with accurate simulations of refraction and reflection, and it is efficient to regularly be of practical use when high-quality output is required. The ray-tracing approach produces visual images that developed in 3D computer graphics environments. The 3D visual images resulting from ray-tracing technology are high quality with advanced optical effects are made possible through the combination of different innovation and advanced technologies such as artificial intelligence, computational costs, software engineering, the internet, and computing technologies.
Relationship between ray tracing and other innovations and advanced technologies
Ray Tracing and artificial Intelligence
Artificial Intelligence (AI) introduces an intelligent agent in the ray tracing system capable of perceiving the environment and taking the relevant actions to maximize chances of success in displaying images/ visualization. The use of AI in ray tracing ensures that realism in imaging is realized with low costs and work or effort reduction. The graphic card use AI technology for real-time ray tracing, where it operates through simulation of millions of photons and mimicking the way light reflects on different objects in real life (Geller, 1). This approach’s results are high-level realism is attained, making imaging to be highly immersed and life-like. In Ray tracing visualization, light behavior is implemented depending on it is expected to work in real life. Ray tracing works out and simulates light acts and behaves differently as differentiated through the artificial intelligence learning process, thus giving it more realism. This approach makes it possible to see lighting in visualization and images appealing to be authentic compared to images produced using a green screen. Therefore, AI s incorporated in ray tracing to ensure that graphics production has an element of realism is efficient, and images are generated in real-time.
Ray tracing and computational costs
The element of computational costs in Ray Tracing arises from time taken, memory taken in the display of images, and visualization. The computational costs entail the time and resources needed in solving different visualization problems. In this regard, there is a need to significantly reduce the computational cost in the visualization and presentation of images. It is vital to note that the larger the problem, the more the computational costs (Nakayama, 1). In this regard, one evaluates the easiest way to solve computational problems despite their sizes by adopting algorithms. In this case, one will have different algorithms such as linear, quadratic, cubic, quantic, and exponential can be adopted based on the algorithm will the lowest computational cost. One needs to adopt efficient/polynomial algorithms that solve problems in the shortest time. In ray tracing, the quality and efficiency of visualization are achieved when still or moving images are captured in real-time or in the shortest time. The ray-tracing uses efficient or polynomial algorithms to ensure that images are captured within the shortest time, thus attaining high levels of clarity and authenticity that bring out visualization realism. Therefore, ray tracing produces a high degree of visual realism made possible by reducing computational costs that they can be adopted in applications that take a long time to render, such as television visual effects, film visual effects, and computer-generated images.
Ray tracing and Software Engineering
The incorporation of software Engineering is directed towards achieving trustworthy systems for the quality and realism of visualization and imaging. The trustworthy software is characterized by the safety, reliability, and security of the final products to ensure they meet the consumers’ needs. In Ray tracing, the software Engineering ensures that controls are made in response to the environment and consideration of the requirements (Bernstein, 1). The software incorporated in the ray tracing technology takes commands and instruction to produce the desired images for different purposes. Consequently, software engineering operates to solve the right problems in the right way, make testing against requirements, achieve certifications against the arising problems, and bind the execution domain to achieve the desired realism. The combination of the different elements ensures perfect, clear, and real images are captured. Moreover, the ray-tracing operations under the software engineering are achieved, transforming the program to the desired product, which in this case, it’s the images or the visualizations. The approach of transforming a program to a product is achieved through programming systems product. The programming systems product is achieved through the integration of the programming product and the programming systems. More so, software engineering incorporates the agile methods in the ray tracing to overcome excessive overhead involved in designs by focusing on the code compared to the design, using iterative approaches and working on the delivery of working software in meeting the changing needs. The agile methodologies are vital to ensure that the desired methods are realized with certainty.
Incorporating software engineering in ray tracing ensures that ethical standards are observed to ensure that products are produced in consideration of the surroundings. In this case, ethical consideration adopted include analysis of safety and risks, humanizing tasks, understanding problems as opposed to the understanding of customer solution, searching the literature to ensure innovations are not repeated, adherence to privacy dictates and respect for property rights, and advocacy for ethical behavior (Haines and Akenine, 2019: 2024 – Online Assignment Homework Writing Help Service By Expert Research Writers). Therefore, software engineering plays a significant role in modeling ray tracing systems that meet the market requirements, quality specifications, and changes to ensure that efficient and effective images are presented to meet their different purposes, such as advertisements.
Ray tracing and the internet
Incorporating the internet in the ray tracing technology brings out the aspect of hardware and software configuration. The software aspects play a significant role in offering the users the desired experience and maximizing the hardware resources. The internet provides an enabling environment for ray tracing technology (Borcea, 1). In this regard, the internet enhances the communication of the different components of ray tracing to enhance coordination; thus, effective visualization is ultimately achieved. The communication safety is enhanced to ensure that the ray tracing system can communicate with external components without interruption or compromise for external parties. The communication with external components ensures that instructions can be communicated to the ray-tracing components, thus effective visualization.
The internet links ray tracing and other technological components through computer networks. There are different computing devices, such as end systems, hosts, and nodes that make connections to be achieved with certainty. This approach makes it possible for different parties to use PCs, mobile devices, laptops, and servers to link the ray tracing system to give instructions or enhance the development of the desired images (Borcea, 1). The ray tracing system and computing devices have applications linked through the internet for purposes of implementing commands and instructions from the users. Therefore, the internet element is a vital aspect of ray tracing to enhance communication between devices and users to transfer command and later implementation for perfect imaging.
Ray tracing and computing
The computing aspect of ray tracing is vital as it consistently improves its characteristics, making it faster, and smaller but with advanced capability, and cheaper approaches of attaining the end product, thus making them attractive (Cohen, 1). This approach has made the ray tracing consistently change in meeting its objects with certainty and effeteness.
Computers are machines capable of mimicking and extending certain human faculties such as planning, execution, and information processing. The ray-tracing technology incorporates computing in its operations to ensure that it can favorably plan and process information to execute commands and requirements of the final user (Cohen, 1). The computing skills enable the ray tracing to operate most appropriately in the presentation of visualization.
The success of ray tracing takes the computational and calculation element to transform light into the desired images. In this case, ray tracing computes the visibility between different points. Light transport algorithms are modeled to simulate light propagation through space while interacting with objects (Cohen, 1). The computational approach assists in the computation of color of a point in a scene, prevent the mixing of ray tracing with light transport algorithms. The computational element enhances the computation of visibility between different points and not being a light transport algorithm. Therefore, the computational element enhances the distribution of light from an object to the image in the right proportions, thus bringing it out in the desired way for the user. The computational element can be altered to suit the needs of the consumer.
The computing element of ray tracing is vital in the computation of photo-realistic images of 3D objects (Sepasian et al., 483). The photo-realistic images are achieved through a combination of tasks that are achieved through computation. The different tasks cast the rays for every pixel image, ray-Geometry intersection for the different objects in the scene, and shading to establish the actual looks of an object through the intersection of the ray and the object.
Conclusion
Ray tracing technique incorporates different technologies and innovations for quality and realism in the images and visualizations produced. In this regard, the artificial intelligence in ray tracing ensures the regulation of the ray tracing system to enhance the realism of the images produced. Consequently, the computational costs ensure that efficient algorithms are used to present the desired visualization within the shortest time possible. Furthermore, software engineering ensures that the ray tracing system can make the relevant controls to ensure that the desired images are produced. Moreover, the internet ensures that ray tracing is effectively connected with external devices to implement different visualization commands and requirements. Finally, the computing element ensures that rays are appropriately distributed to present the images as desired.

Work cited
Bernstein L. Software Engineering. New Jersey Institute of Technology: College of Computing Sciences. Retrieved from https://vimeo.com/16836888
Borcea C. The Internet. New Jersey Institute of Technology: College of Computing Sciences. Retrieved from http://vimeo.com/15278023
Cohen B. What is Computing. New Jersey Institute of Technology: College of Computing Sciences. Retrieved from http://vimeo.com/14860090
Geller J. Artificial Intelligence. New Jersey Institute of Technology: College of Computing Sciences. Retrieved from http://vimeo.com/16322159
Haines, Eric, and Tomas Akenine-Möller, eds. Ray Tracing Gems: High-Quality and Real-Time Rendering with DXR and Other APIs. Apress, 2019: 2024 – Online Assignment Homework Writing Help Service By Expert Research Writers.
Nakayama M. Computational Costs. New Jersey Institute of Technology: College of Computing Sciences. Retrieved from http://vimeo.com/17277312
Sepasian, Neda, et al. “Multivalued geodesic ray-tracing for computing brain connections using diffusion tensor imaging.” SIAM Journal on Imaging Sciences 5.2 (2014: 2024 – Essay Writing Service. Custom Essay Services Cheap): 483-504.
Xing, Shujun, et al. “High-efficient computer-generated integral imaging based on the backward ray-tracing technique and optical reconstruction.” Optics express 25.1 (2017): 330-338.

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