TeCo3D—Sharing Interactive and Dynamic 3D Models

This paper describes a method of producing scenes for TV programs, using “dynamic 3D human models.” Dynamic 3D human models are 3D models generated from images shot by multiple cameras surrounding an actor for each frame using 3D-reconstruction and texture-mapping techniques. They can provide highly realistic images as well as natural motions without having to use a motion-capture system. In addition, they allow production to be more flexible, enabling the positions of models to be changed or multiplying the amount used. Dynamic 3D human models are therefore suitable for producing crowd scenes. Although techniques of 3D reconstruction and texture mapping have been discussed and several applications have been proposed, they have not been widely introduced into TV or movie production, because of the huge amounts of data and insufficient textural quality. By establishing an efficient production flow with recent powerful computers and 24 HD cameras, the authors succeeded in producing crowd scenes with sufficient quality for a TV program, which will be aired in December 2009. The scenes involving 1,000 soldiers can be produced by shooting several sequences with two actors. The production flow that was established is described as well as scenes that were produced using dynamic 3D human models for a drama.

The Smart House Planner is an AI-powered solution designed to simplify the process of residential home design by combining intelligent planning, 3D modelling, and real-time cost estimation through an interactive conversational interface. With the rising demand for personalized housing solutions and the complexity of balancing aesthetics, functionality, and budget, there is a growing need for systems that can automate architectural planning while remaining user-friendly. This project addresses that challenge by integrating Gemini AI for intelligent design recommendations, Blender for automated 3D visualization, and a cost estimation engine for transparent financial planning. The system enables users to specify requirements such as housing type (1BHK, 2BHK, 3BHK, Duplex, Villa), dimensions, and style preferences via a modern Django-based web interface. Gemini AI processes these inputs to generate optimized layouts by considering space utilization, and functional flow. These layouts are then transformed into realistic, interactive 3D models using Blender, allowing users to explore their prospective homes virtually. Simultaneously, the cost estimation module calculates material, labour, costs, producing downloadable reports that support informed decision-making and budget control. By unifying AI-driven design intelligence, real-time 3D modelling, and detailed cost breakdowns, Smart House Planner provides a comprehensive platform that enhances user engagement, reduces reliance on professional intervention, and democratizes access to architectural planning. This solution demonstrates how AI, visualization technologies, and web-based interfaces can transform the way individuals approach housing design, making the process more efficient, transparent, and accessible to both professionals and non-experts.

This paper describes a method of producing scenes for TV program, using “dynamic 3D models”. Dynamic 3D models are 3D models generated from images shot by multiple cameras surrounding an actor for each frame using 3D-reconstruction and texture-mapping techniques. They can provide highly realistic images as well as natural motion without using a motion-capture system. In addition, they allow flexible production, so the positions of the models can be changed and the models can be duplicated. Dynamic 3D models are therefore suitable for producing crowd scenes with numerous people. Although techniques of 3D reconstruction and texture mapping have been discussed and several applications have been proposed, they have not been widely used into TV or movie production because of the size of data and insufficient textural quality. By establishing an efficient production flow with recent powerful processors, we succeeded in producing scenes with sufficient quality for a TV program, which was aired in December, 2009. The scenes involving one thousand soldiers could be produced by shooting several sequences with only two actors. We describe the production flow that we established and present some scenes that we produced using dynamic 3D models for the drama.

Proceedings of the 2011 joint ACM workshop on Human gesture and behavior understanding

It is not only interesting to predict how an individual of a relatively young age will look in the future but also to reconstruct the facial appearance in the past during childhood. It can be even more desirable when different circumstances, behavior and lifestyle and their impacts on the facial shape appearance as a consequence are taken into account. Such may be applicable for many practical reasons in healthcare, forensics psychology, missing people and children, etc. This paper presents the 3D Face Time Machine Matrix (FT2M), a 3D Dynamic Shape Model which is a fusion of two models of ageing and rejuvenation with facial shape variations due to lifestyle and behavioral factors. This dynamic model is learned from a database of three dimensional facial images which is built by ten individual age groups between 3 to 75 years old. 3D facial aging modeling is a complex process since it affects both the shape and texture of the face. We propose a Dynamic face model to transform the given input face to his youthful or adulthood appearance by taking into account his lifestyle and behavioral traits and the probable changes may occur in perceptible appearance by altering its shape and texture simultaneously.

IntroductionModern patient portals are powerful tools that foster communication between providers and patients. While increasing patient access to their medical records, these portals often only provide written radiology reports and...

3D imaging, based mostly on data from x‐ray CT and MRI, has become part of the tool box for the visual representations of morphological data sensu lato. While the basic methodology continues to be refined at the acquisition and data processing levels, the time has come to explore how specific research questions can be solved by creating 3D models that are accurate and testable, and, therefore, realistic (realitätsgetreu, i.e., faithful to reality) based on nondestructive 3D data acquisition techniques that allow a particular specimen to be used subsequently for other, possibly destructive procedures, such as dissection, histology, or electron microscopy. Three different 3D modeling approaches for answering specific questions exemplify the range of possible applications and can be adapted to analogous biological systems. (1) 3D modeling of a human skeleton based on x‐ray CT data allows the depiction of the three‐dimensional orientation of muscle and external forces and the calculation of their relative magnitude as a baseline for evaluating the effects of (A) healthy versus unhealthy postures on the body as a whole; and (B) bilateral asymmetry due to preferential use of a particular side or to congenital conditions (e.g., torticollis, scoliosis). Such a 3D model allows the resolution of forces without invoking limiting preconditions in contrast to 2D models, which require certain unrealistic assumptions for flattening a 3D specimen into a 2D plane. (2) 3D modeling of soft tissue structures and organisms that lack a mineralized skeleton (e.g., lampreys, soft‐bodied invertebrates) by using MRI data to avoid the shrinkage and deformation of soft tissues associated with contrast‐stained x‐ray CT data, and by using special acquisition and visualization procedures to deal with the inherent trade‐off between tissue contrast and image resolution in MRI. (3) 4D modeling of the movement patterns of a complex organism with a multitude of moving skeletal elements, such as the simultaneous movements of the thorax, neck, skull, jaw, tongue, and larynx of a vocalizing bird, requires a combination of several techniques. First, a segmented 3D model based on x‐ray CT data is created, in which all skeletal elements are marked as independent units. This structural 3D model is then transformed into a dynamic 3D model by matching its configuration to the configuration shown in individual frames of an x‐ray video of a singing bird, which is synchronized with an audio‐recording of the bird's vocalizations to calibrate particular skeletal positions with particular notes sung by the bird. This approach transforms a 2D x‐ray video into a 3D video that can be observed from any angle. Furthermore, it controls the exposure of live organisms to radiation and, therefore, is applicable to humans, as well as to rare and valuable live specimens, in fundamental and clinical research. The principles involved in the presented 3D data processing techniques are preparing the ground for applications to emerging 3D data acquisition modes, such as x‐ray phase‐contrast, or phase‐sensitive, imaging and neutron grating interferometry.Support or Funding InformationLSU Foundation support and National Institute of Neurological Disorders and Strokes subcontract IN‐4683010‐LSU to Dominique G. Homberger; Sigma Xi Grant‐in‐Aid to Bradley M. Wood.This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal.

In these days, 3D models are introduced as new digital contents such as video games and data material for 3D printer. The demand of 3D modeling for ordinary people has been increased. While using existed hand-held 3D modeling system, users have to estimate unmeasured area through a display. Also users have to terminate consequently modeling with watching a process of modeling [Fudono et al. 2005]. In this paper, we propose a novel modeling system which indicates route guidance by means of area limitation of modeling at the beginning. Owing to area limitation of modeling, users can obtain desired 3D model with watching effective route guide for measuring and automatic termination of modeling. Users can obtain desired 3D model easily and quickly

The development of 3D technology allows the digitisation of cultural heritage objects. Despite the fact that 3D scanning technology is not fully developed, it offers great opportunities for recording spatial data. Three-dimensional digital recording can be made for museum exhibits as well as for historic architectural objects. The method used is a non-invasive (non-contact) method, which is a significant advantage when working with historic buildings. The use of 3D scanners makes it possible to reduce the risk of damage to the monument. The application of a safe method of 3D scanning facilitates digital archiving of objects, which gives many possibilities of their use. One of them is digital dissemination of three-dimensional models and even making replicas using 3D printing technology. These types of models make it possible to reach a wide audience. First of all, they provide access to monuments for people with special needs, who currently constitute over a dozen percent of the population. In particular, they are the elderly, sick or people with various types of disabilities, e.g. motionally or visually impaired people. Literature analysis as well as conversations with dysfunctional people show that 3D digitisation of cultural heritage objects is needed and expected. The article presents an example of the use of modern 3D technologies for the dissemination of cultural heritage on the example of objects from the area of the Silk Road. A two-track process of making small museum artefacts available is presented. The first track concerns making objects available in the form of interactive digital 3D models placed on websites. The second one uses real models printed in 3D technology, which can be made available to visually impaired people. The work discusses the course of joint activities to prepare these 3D models and specialised activities that are necessary to make both versions of 3D models for presentation on the web and for kinaesthetic cognition, i.e. by touch. The authors’ actions resulted in the preparation of 3D models of historic vessels from the turn of the 11th/12th centuries from the ancient city of Afrasiyab – a suburb of modern Samarkand in Uzbekistan.

Insects are the most diverse group of living organisms on Earth, but their small size and structural complexity make species identification a challenging task, especially for those with less experience in entomology. Accurate identification is essential for pest management decisions in agriculture. Traditional 2D resources, such as field guides and taxonomic keys, may exhibit limitations when depicting complex insect structures, as exemplified by the intricate morphology of insect mouthparts. This study explores the use of 3D models to enhance the learning experience in insect identification and morphology education. We developed an online course that incorporated interactive digital 3D models alongside instructional videos and assessments. Participants (N = 102), primarily undergraduate students in natural sciences, completed pre- and posttests to assess knowledge gains. Additionally, they completed a survey designed to evaluate learning satisfaction, self-efficacy, limitations of the learning tools, and to collect open-ended written feedback. A paired samples t-test revealed a significant increase in posttest scores compared to pretest scores (t = −17.71, P < 0.001). Most participants rated learning satisfaction and self-efficacy above 9 on a 0 to 10-point Likert scale survey. Participants highlighted the effectiveness of 3D models in species differentiation and morphological understanding. Feedback suggested potential improvements, including expanded insect coverage and interactive comparison tools. This study demonstrates that 3D models can significantly enhance insect morphology education, providing an engaging and effective learning tool for students and pest management professionals.

Utilizing the Fourth Dimension for Patient Education in Cardiovascular Surgery

Interactive 3D modeling in VR is both aided by immersive 3D input and hampered by model disjunct, tool-based or selection-action user interfaces. We propose a direct, signifier-based approach to the popular interactive technique of creating 3D models through a sequence of extrusion operations. Motivated by handles and signifiers that communicate the affordances of everyday objects, we define a set of design principles for an immersive, signifier-based modeling interface. We then present an interactive 3D modeling system where all modeling affordances are modelessly reachable and signified on the model itself.

Autonomous UAV systems are increasingly touted as the dominant future paradigm for inspecting civil infrastructure. Within this study, we have designed and developed a cloud system for high-level path planning, monitoring, and testing of autonomous UAV missions for inspecting infrastructures such as power lines, power towers, bridges, and railways. The software architecture is based on identified system’s functional and non-functional requirements. The cloud system is intended for UAV inspection operators and therefore should support multiple concurrent users. The microservice architecture has assured independence between functionalities, allowing independent scaling resulting in the fast processing time of near-optimal route calculation for UAVs reaching inspection targets. Furthermore, the independence between the services facilitates feature addition and future development. The system robustness is assured by containerizing services and continuously deploying to the Kubernetes cluster distributed across multiple worker nodes. Kubernetes scaling properties have enabled multiple concurrent users regardless of heavy computations for inspection paths. Application load testing has resulted in low processing time when individual services are scaled. Calculated inspection paths are validated for real-world inspection by employing the UAV Gazebo simulation based on a 3D dynamic model with an onboard flight controller, leading the UAV through the waypoints provided by the cloud system. By containerizing the simulation and deploying it within the cluster, we have enabled developers and users to test paths before sending the real-world UAVs to the inspection.

Research using dynamic facial expressions in computer science and psychology is largely focused on facial models with control parameters based on the Facial Action Coding System (FACS) [Ekman et al. 2002]. Facial models used in research and production are typically linear in nature, whereas real expressions are non-linear. Using a 3D Dynamic Morphable Model [Cosker et al. 2010], in this work we explore the effect of linear and non-linear facial movement on expression recognition. We believe that this has implications in the validity of using linear or non-linear models in facial experiments, and also impacts on the design of facial models in general.

This chapter presents a method for archiving and searching three-dimensional Native American ceramic vessels using geometric modeling techniques. Archaeological vessels are scanned and defined as a set of 3D triangulated meshes composed of points, edges and triangles. Our work includes modeling the data with parametric surfaces, extracting features to raise the level of abstraction of data, and organizing vessel data based on XML schema. A visual query interface on the web was developed that permits users to sketch or select sample vessel shapes to augment text and metric search criteria to retrieve original and modeled data, and interactive 2D and 3D models.