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Browsing Computer Science and Engineering by Author "Sharma, Ojaswa (Advisor)"

Browsing Computer Science and Engineering by Author "Sharma, Ojaswa (Advisor)"

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  • 3D reconstruction from sparse unorganized cross sections 
    Agarwal, Nidhi; Sharma, Ojaswa (Advisor) (2015-12-02)
    In this thesis work, we propose an algorithm for smooth 3D object reconstruction from un- organized planar cross sections. We address the problem in its full generality, and show its e ectiveness on sparse set of cutting ...
  • 3D visualization of CT datasets 
    Singh, Karan; Sharma, Ojaswa (Advisor) (2023-11-29)
    This project addresses the real-time visualization of CT datasets, emphasizing cinematic rendering for heightened realism. Initial efforts concentrated on networking on a Unity frontend for seamless communication with a ...
  • AI based sketch animation 
    Gupta, Shreyas; Sharma, Ojaswa (Advisor) (IIIT-Delhi, 2023-11-29)
    Animation of hand-drawn sketches can be a challenge for artists with little to no dedicated experience in animation, even when working with reference videos for movement. information. An inaccurate animation can make the ...
  • Augmented reality from 3d architectural models 
    Rathee, Gaurav; Pandey, Jalaj; Akhtar, Mohammad Hammad; Sharma, Ojaswa (Advisor) (2017-04-18)
    Usually in new places sign boards are used to provide directions or infrastructural information, this approach is quite rudimentary and limited. These boards can provide us with fixed and limited information and require ...
  • Deep learning based 3D reconstruction of indoor scenes 
    Hegde, Srinidhi; Anand, Saket (Advisor); Sharma, Ojaswa (Advisor) (2017-04-18)
    Recent advancement in deep learning techniques has opened doors for wide variety of applications. With growing interests in deep learning and geometry, lots of computer vision problems have been tackled using deep learning. ...
  • Differentiable rendering 
    Bhattacharya, Aishiki; Sharma, Ojaswa (Advisor) (IIIT-Delhi, 2023-11-29)
    Differentiable Rendering combines the principles of differentiable programming and rendering pipelines. This report studies this emerging field by going through research papers and the functionalities of the Mitsuba renderer. ...
  • Extended reality-based procedural task training systems for young children 
    Singh, Katyayani; Sharma, Ojaswa (Advisor); Dey, Arindam (Advisor) (IIITD-Delhi, 2018-04-30)
    In this work, we evaluate the applicability of Augmented Reality and Virtual Reality in designing enhanced learning experiments for children. Such an intervention can prove to be very useful to kids with reduced cognitive ...
  • Implementation and evaluation of I/O efficient range trees 
    Khan, Akif Ahmed; Raman, Rajiv (Advisor); Bera, Debajyoti (Advisor); Sharma, Ojaswa (Advisor) (2015-12-03)
    Range Tree is a geometrical data structure used to store data in d-dimensions. In order to store larger amount of data in external memory, we need an I/O efficient algorithm. There are many I/O efficient algorithms ...
  • Physically based volume rendering 
    Gupta, Ojaswi; Sharma, Ojaswa (Advisor) (2016-04-28)
    Physically Based Volume Rendering involves solving the Radiative Transfer Equation (with the Rendering Equation as its boundary condition) in-silico to produce images that are indistinguishable from reality. Graphics ...
  • Procedural creation of VR walkthroughs 
    Singal, Sanidhya; Sharma, Ojaswa (Advisor) (IIITD-Delhi, 2018-06-19)
    Virtual Reality Walkthroughs provide an immersive experience of a real place. Through this project, we automate the creation of VR walkthroughs for large spaces, with the case study of IIIT-Delhi's campus. Our project ...
  • Realvol: The future of medical image visualization 
    Bansal, Palash; Sharma, Ojaswa (Advisor) (IIITD-Delhi, 2018-11-26)
    The goal of this BTP is starting a venture by taking RealVol of as a technology company that strives to improve the best in class visualization of medical scans for better learning and diagnostics and to finally provide ...
  • Volumetric videos 
    Jha, Aadit Kant; Sikdar, Sohum; Sharma, Ojaswa (Advisor) (IIIT-Delhi, 2023-12-01)
    Volumetric videos are videos of 3D space captured at every timestamp. The bulky nature and complexity of these videos make storage and transfer a tedious task making it difficult to work within a real-time application. We ...

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