A benchmark collector shape, against which the optimized shapes are compared, is identified.
Despite the personnel shake-ups, Benchmark is shaping up to having a pretty stellar 2018.
Experiments are conducted using our Engineering Shape Benchmark database to evaluate the proposed combination rule.
As for ASR task, McGill articulated shape benchmark [19] is adopted to test the effectiveness of our approach in Section 6.
The descriptors for the models are constructed by following the procedure shown as block 1 and 2 in Figure 2. We applied the BWs method for ASR task on McGill Shape Benchmark (MSB) [19].
The main contributions of this paper are the development of a new engineering shape benchmark and an understanding of the effectiveness of different shape representations for classes of engineering parts.
Some benchmarking problems in shape and topology optimization are treated using the proposed approach.
Experimental results on two standard 3D shape benchmarks demonstrate the much better performance of the proposed approach in comparison with state-of-the-art methods.
Extensive experiments are carried out on three standard 3D shape benchmarks to demonstrate the much better performance of the proposed clustering approach in comparison with recent state-of-the-art methods.
Our experiments on two standard 3D shape benchmarks show that the proposed framework not only outperforms the state-of-the-art methods in classification accuracy, but also provides attractive scalability in terms of computational efficiency.
