Flower classification is a useful way for grouping a flower in certain class using specific features. This research propose a new method of flower classification system using combination of color and texture features. The first phase is getting the crown of the flower, which is localized from a flower image by using pillbox filtering and OTSU’s thresholding. In the next phase, color and texture...

A commonly encountered problem when creating 3D models of large real scenes is unnatural color texture fusion. Due to variations in lighting and camera settings (both manual and automatic), captured color texture maps of the same 3D structures can have very different appearances. When fusing multiple texture maps to create larger models, this color variation leads to poor appearance with patchw...

How should one model a texture? Statistically? Structurally? Or a bit of both? In this paper, we propose a method to help one decide. We assume a texture contains a random and a structured component, then estimate the proportion of energy in each component using a new algorithm. The energy proportions indicate whether one texture component dominates or an even mix exists. We implemented our alg...

In traditional 3D model reconstruction, the texture information is captured in a certain dynamic range, which is usually insufficient for rendering under new environmental light. This paper proposes a novel approach for multi-view stereo (MVS) reconstruction of models with high dynamic range (HDR) texture. In the proposed approach, multi-view images are firstly taken with different exposure tim...

Photo documents, documents digitized with portable digital cameras, often are affected by non-uniform shading. This paper proposes a new method to remove the shade of document images captured with digital cameras followed by a new binarization algorithm. This method is able to automatically work with images of different resolutions and lighting patterns without any parameter adjustment. The pro...

Since grass is very abundant on the Earth’s surface, it is an important element of natural 3D scenes. Real-time realistic rendering of grass has always been difficult due to the huge number of grass blades. Overcoming this geometric complexity usually requires many coarse approximations to provide interactive frame rates. However, the performance comes at the cost of poor lighting quality and l...

Under our enhancement, the luminance changes created by a texture are also enhanced. As we found with the book example, this simply means the enhancement is less robust to changes in radius and enhancement strength users may choose a weaker effect to avoid enhancing the textures. Or, should the user have special reason not to enhance texture at all, he or she may choose to render in two passes ...

A lot of research has been conducted on 3D surface reconstruction using multiple images of fixed view point and varying lighting conditions. In this paper, a new image-based modeling technique based on Polynomial Texture Mapping (PTM) is presented. This technique allows automated reconstruction of highly detailed 3D texture-mapped models. The new technique addresses some of the shortcomings of ...

In this paper, we propose a novel method of real-time object detection that can recognize three-dimensional (3D) target objects, regardless of their texture and lighting condition changes. Our method computes a set of reference templates of a target object from both RGB and depth images, which describes the texture and geometry of the object, and fuses them for robust detection. Combining both ...