Optimal Camera Layout to Take Pictures for Indoor Landscape Using GA
スポンサーリンク
概要
- 論文の詳細を見る
ABSTRACT Taking pictures including all the walls and materials is necessary to make video-based CG of indoor landscapes. These pictures must have a variety of conditions such as a distance between camera and wall, overlap of pictures to compose CG and so on. This paper treats a building as two dimensional model and finds layout which camera can take all the parts of the walls in the building using Genetic Algorithms. We find such layouts and can minimize the number of cameras.
- 宮崎大学の論文
著者
-
Takeda Haruo
Office Of Strategic Planning Systems Development Laboratory Hitachi Ltd
-
Yoshihara Ikuo
Department of Computer Science and Systems Engineering, Faculty of Engineering, Miyazaki University
-
Yamamori Kunihito
Department of Computer Science and Systems Engineering, Faculty of Engineering, Miyazaki University
-
Yoshihara Ikuo
Department Of Computer And Science And Systems Engineering Miyazaki University
-
NAKAGAWA TAKUMI
Department of Orthopaedic Surgery, Faculty of Medicine, The University of Tokyo
-
Nakagawa Takumi
Department Of Computer Science And Systems Engineering Faculty Of Engineering Miyazaki University
-
Yamamori Kunihito
Department Of Computer And Science And Systems Engineering Miyazaki University
関連論文
- A New Data Structure for Lin-Kernighan Traveling Salesman Heuristic
- A GA-based method for multiple protein sequence alignment
- A parallel greedy GA for symmetric and asymmetric TSPs
- Extracting Transcription Regulatory Elements in Dictyostelium Discoideum
- Finding Characteristic Patterns Embedded in Non-transcribed Region of Dictyostelium Discoideum by Computed Moire
- Feature Extraction from Non-transcribed Region of Dictyostelium Discoideum using Moire Picture
- Symptomatic cyclops lesion after rupture of the anteromedial bundle of the anterior cruciate ligament
- Optimal Camera Layout to Take Pictures for Indoor Landscape Using GA
- Development of Exon Region Extracting Method by GMDH and GA from DNA Sequences
- GMDH-GA Hybrid Model Extracting Exon Region from DNA Sequences
- Construction of GMDH-based Prediction model using GA
- GP-Based Method for Extracting Exons from DNA Sequence
- Evaluation of GP-based time series prediction
- Segmentation and GA-based Optimization of Transmission-Line on Printed Circuit Board
- English Pronunciation Reasoning by NN Considering Frequency Distribution of Phonemes
- Prediction of Protein Secondary Structure Based on a Multi-modal Neural Network: with Modified Profiles of MSA and PSSM
- Development of a multi-modal nueral network for predicting protein secondary structure
- Research on identifying intron-exon boundaries in DNA sequences
- Optimization of Discrete Camera Position for Taking All Scenery Inside Buildings by GA
- Performance of Parallel Back-Propagation Algorithm on PC Cluster System
- Identification of Exon-Intron Boundary by Hidden Markov Model and Evaluation with the Human Genome
- High-speed Generation of Logic Function to Identify Exon-Intron Boundaries by Parallel GP
- Minimizing the Number of Cameras to Take Pictures of All the Indoor Landscapes Based on GA
- GA-based University Timetabling for Constraint Satisfaction
- Evaluation of Edge Assembly Crossover for Hybrid GA
- Mosaic Face Image Recognition on Multi-Layer Neural Network
- Comparison with defect compensation methods for freed-forward neural networks
- Model Building Method for Time Series with High Complexity Using Genetic Programming
- Timetabling for Satisfying Professors' Requirements and Students' Desires using Genetic Algorithm
- Timetabling for University Classes using Genetic Algorithm
- Improved edge recombination operators for genetic algorithms