The design and analysis of a cache architecture for texture mapping

Proceedings of the 24th annual international symposium on Computer architecture - ISCA '97 ◽

10.1145/264107.264152 ◽

1997 ◽

Cited By ~ 25

Author(s):

Ziyad S. Hakura ◽

Anoop Gupta

Keyword(s):

Texture Mapping ◽

Cache Architecture

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The design and analysis of a cache architecture for texture mapping

ACM SIGARCH Computer Architecture News ◽

10.1145/384286.264152 ◽

1997 ◽

Vol 25 (2) ◽

pp. 108-120 ◽

Cited By ~ 22

Author(s):

Ziyad S. Hakura ◽

Anoop Gupta

Keyword(s):

Texture Mapping ◽

Cache Architecture

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Rendering Vector Data over 3D Terrain with View-Dependent Perspective Texture-Mapping

Journal of Computer-Aided Design & Computer Graphics ◽

10.3724/sp.j.1089.2010.10768 ◽

2010 ◽

Vol 22 (5) ◽

pp. 753-761 ◽

Cited By ~ 4

Author(s):

Hong Chen ◽

Xiaoan Tang ◽

Yaohua Xie ◽

Maoyin Sun

Keyword(s):

Texture Mapping ◽

Vector Data ◽

3D Terrain

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Monolithic 3D-Based SRAM/MRAM Hybrid Memory for an Energy-Efficient Unified L2 TLB-Cache Architecture

IEEE Access ◽

10.1109/access.2021.3054021 ◽

2021 ◽

Vol 9 ◽

pp. 18915-18926

Author(s):

Young-Ho Gong

Keyword(s):

Energy Efficient ◽

Hybrid Memory ◽

Cache Architecture

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Voxel-Based Texture Mapping and 3-D Scene-data Fusion with Radioactive Source

2020 The 8th International Conference on Information Technology: IoT and Smart City ◽

10.1145/3446999.3447019 ◽

2020 ◽

Author(s):

Chen Yang ◽

Yueer Li ◽

Mengfu Wei ◽

Junhai Wen

Keyword(s):

Data Fusion ◽

Texture Mapping ◽

Radioactive Source

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Instant Panoramic Texture Mapping with Semantic Object Matching for Large-Scale Urban Scene Reproduction

IEEE Transactions on Visualization and Computer Graphics ◽

10.1109/tvcg.2021.3067768 ◽

2021 ◽

pp. 1-1

Author(s):

Jinwoo Park ◽

Ik-beom Jeon ◽

Sung-eui Yoon ◽

Woontack Woo

Keyword(s):

Large Scale ◽

Texture Mapping ◽

Object Matching ◽

Urban Scene ◽

Semantic Object

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Inversion-free geometric mapping construction: A survey

Computational Visual Media ◽

10.1007/s41095-021-0233-9 ◽

2021 ◽

Vol 7 (3) ◽

pp. 289-318

Author(s):

Xiao-Ming Fu ◽

Jian-Ping Su ◽

Zheng-Yu Zhao ◽

Qing Fang ◽

Chunyang Ye ◽

...

Keyword(s):

Mesh Generation ◽

Optimization Problem ◽

Texture Mapping ◽

Deformation Texture ◽

Research Field ◽

Combinatorial Problems ◽

Open Problems ◽

Nonlinear Constrained Optimization ◽

Construction Methods ◽

Geometric Mapping

AbstractA geometric mapping establishes a correspondence between two domains. Since no real object has zero or negative volume, such a mapping is required to be inversion-free. Computing inversion-free mappings is a fundamental task in numerous computer graphics and geometric processing applications, such as deformation, texture mapping, mesh generation, and others. This task is usually formulated as a non-convex, nonlinear, constrained optimization problem. Various methods have been developed to solve this optimization problem. As well as being inversion-free, different applications have various further requirements. We expand the discussion in two directions to (i) problems imposing specific constraints and (ii) combinatorial problems. This report provides a systematic overview of inversion-free mapping construction, a detailed discussion of the construction methods, including their strengths and weaknesses, and a description of open problems in this research field.

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