Automatic Ensemble Diffusion for 3D Shape and Image Retrieval
نویسندگان
چکیده
منابع مشابه
Supplementary Material for “Ensemble Diffusion for Retrieval”
The document contains the supplementary materials for “Ensemble Diffusion for Retrieval”. The primary goal of this document is to provide the proof of used propositions in Sec. 1, which are omitted in the main paper due to the space limitation. As a secondary goal, we present additional experiments for a more comprehensive evaluation, including the quantitative evaluations in Sec. 2, the qualit...
متن کاملShape measures for image retrieval
One of the main goals in Content Based Image Retrieval (CBIR) is to incorporate shape into the process in a reliable manner. In order to overcome the difficulties of directly obtaining shape information (in particular avoiding region segmentation) we develop several shape measures that tackle the problem in an indirect manner, requiring only a minimal amount of segmentation. A histogram-based s...
متن کاملThe Image Shape Spectrum for Image Retrieval
We present an appearance-based technique for image characterization and retrieval. Our method is translation/rotation and scale-invariant and encodes the signiicant data in the image without using any segmenta-tion. It is also very well suited to small viewpoint changes and is robust to noise and occlusion. We present several retrieval examples in large benchmark databases, including face datab...
متن کاملHarmonic Shape Histograms for 3D Shape Classification and Retrieval
In this paper, we present a novel approach towards 3D shape recognition and retrieval using histograms of rotation invariant local features. Features are extracted for every point of voxelized 3D shape objects by use of functions on spheres which are invariant towards rotation of the object. The fast computation of the local features is performed via convolution methods in frequency space. Hist...
متن کاملAutomatic Image Annotation for Semantic Image Retrieval
This paper addresses the challenge of automatic annotation of images for semantic image retrieval. In this research, we aim to identify visual features that are suitable for semantic annotation tasks. We propose an image classification system that combines MPEG-7 visual descriptors and support vector machines. The system is applied to annotate cityscape and landscape images. For this task, our ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Image Processing
سال: 2019
ISSN: 1057-7149,1941-0042
DOI: 10.1109/tip.2018.2863028